Deployment Strategist - US Government

Join a Transformative Force in TechnologyAt Palantir, we are pioneers in crafting the foremost software solutions that drive data-informed decision-making and operations. Our platforms empower partners to achieve groundbreaking outcomes, from developing life-saving medications to managing supply chain challenges and reuniting families.Our MissionThis pivotal…

Role Overview Accenture Federal Services is hiring a Functional Deployment Site Practitioner in Washington, DC. This position focuses on supporting the rollout of functional solutions across federal environments. What You Will Do Work with cross-functional teams to define project scope and deployment requirements Develop strategies for deploying solutions in federal settings Carry out implementation plans and coordinate deployment activities Troubleshoot and resolve issues that arise during deployment Ensure all work aligns with federal compliance standards Location This role is based in Washington, DC.

Senior Backend Software EngineerJoin Read AI's innovative Backend team as a Senior Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and optimizing robust backend systems that fuel our AI-driven productivity platform. Engage in a dynamic, collaborative setting where you’ll deploy code weekly and make a substantial impact on millions of users.Complete your application with a Provn skills assessment.

At Palona, we are pioneering the integration of cutting-edge generative and multimodal AI into the hospitality sector. Our dynamic engineering team drives innovation at a rapid pace, utilizing generative AI models to create products that continually adapt and improve. In this fast-evolving landscape, traditional software excellence needs to evolve to accommodate the unique nature of AI outputs, which differ significantly from conventional software failures. This position is crucial in establishing an engineering discipline that identifies potential issues before they impact our customers.In this role, you will engage with evaluation pipelines, observability, cloud infrastructure, and CI/CD processes to enhance Palona's AI agent platform. You will blend DevOps and AI reliability, overseeing production infrastructure while developing tools that ensure optimal AI agent performance.ResponsibilitiesAs an AI Reliability Engineer, your key responsibilities will include:Creating and implementing observability systems to identify quality degradation, latency issues, and system anomalies in production, including the development of instrumentation, dashboards, and alerting mechanisms.Writing and maintaining automated tests to assess agent output quality, incorporating deterministic checks and LLM-as-judge evaluations.Developing automated release and validation systems to streamline deployments across different environments and enforce quality gates for AI-driven products.Building and refining platform infrastructure using infrastructure as code, with a strong emphasis on reliability, scalability, and cost efficiency.Enhancing evaluation pipelines that gauge AI agent conversation quality, accuracy, and safety, collaborating with product and engineering teams to refine evaluation criteria.Designing and developing internal tools and services that bolster AI reliability, evaluation, and operational workflows.Architecting new systems to tackle emerging reliability and quality challenges within the AI agent platform.Producing production-grade code for reliability and evaluation infrastructure, contributing as a software engineer rather than merely an operator.

At Accenture Federal Services, our paramount mission is to empower the US federal government to strengthen the nation and enhance the quality of life for its citizens. With a dedicated team of over 13,000 professionals, we are committed to harnessing the potential of technology and innovation for our clients in defense, national security, public safety, civilian, and military health sectors. Join us at Accenture Federal Services, a prominent technology company within the global Accenture network. Celebrated as a Glassdoor Top 100 Best Place to Work, we foster a collaborative and nurturing environment where you can thrive, gain hands-on experience, earn certifications, and undergo industry training and more. Become a part of our team and help drive positive, transformative change that propels missions and government initiatives forward! Your Role: As a Deployment Strategist at AFS, you will play a crucial role in addressing our clients' most urgent challenges, spanning from battlefield operations to supply chain management, benefits programs, and overarching government functions. Collaborating closely with stakeholders, your mission will be to actualize a client's vision through the deployment of Palantir software and the development of customized solutions that deliver tangible results.Daily ResponsibilitiesTeam Collaboration: Work alongside engineers, program managers, and subject matter experts to design, architect, build, and sustain applications tailored to meet AFS clients’ requirements.Data Analysis: Grasp a client’s vital objectives and integrate diverse information into a unified vision and actionable strategy, interpreting the data's significance and creating an impact-oriented plan to swiftly progress from use case to prototype to large-scale deployment.Agile Development: Rapidly iterate and construct solutions, transforming clients' operations with unprecedented speed. You will not only implement software but also redefine organizational workflows by equipping leaders and frontline operators with powerful tools.

Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.

At Oddball, we believe that the most impactful products arise when organizations truly understand and appreciate their work. Our culture fosters continuous learning, personal growth, and the opportunity to make significant contributions within a dynamic, small company environment. We are committed to transforming lives through high-quality software solutions tailored for the federal sector. We are seeking an Applied AI / Machine Learning Engineer who is passionate about designing, developing, and implementing innovative AI-powered solutions that address real-world challenges. This role prioritizes the application of cutting-edge ML and Generative AI methods within production systems, encompassing everything from experimentation and prototyping to deployment, assessment, and iterative improvement. You will collaborate closely with engineers, designers, and product stakeholders to convert complex problems into scalable, dependable AI-driven functionalities. This is a hands-on engineering position ideal for an individual who thrives on delivering results, learning rapidly, and navigating the balance between technical excellence and practical limitations.

Join a Revolutionary CompanyPalantir Technologies is at the forefront of developing world-class software that facilitates data-driven decisions and operations. Our innovative platforms are instrumental in aiding our partners in creating life-saving medical advancements, anticipating supply chain challenges, reuniting families, and addressing numerous critical issues.Our MissionThis position is fundamentally about identifying disparate data points and connecting them to reveal meaningful insights. Our clients approach us with the conviction that leveraging their data effectively is vital for safeguarding their personnel, producing top-tier products, formulating impactful healthcare initiatives, or delivering humanitarian assistance safely. As a Deployment Strategist, you will play a pivotal role in transforming these insights into actionable solutions.If you are passionate about harnessing the transformative capabilities of data and technology to tackle complex challenges, we are eager to connect with you.Your RoleAs a Deployment Strategist, you will collaborate within a dynamic and innovative team comprising Engineers, Product Designers, and fellow Deployment Strategists to implement software solutions for some of the most pressing global challenges. Your objective will be to integrate various streams of information into a clear understanding of the core issues, data significance, product requirements, user motivations, and potential impact areas.Deployment Strategists are proactive individuals who delve deeply into our clients' complex workflows, collaborate with their teams, analyze data, and explore the product landscape to facilitate scalability. Some Deployment Strategists may also be assigned to internal Palantir teams and projects. The challenges you will engage with require a keen analytical mindset, an intuitive grasp of product needs, and a strong sense of user empathy, ultimately empowering our clients to make informed decisions.

About Read AIAt Read AI, we are revolutionizing team collaboration by infusing intelligence into every interaction. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be completed more efficiently and with greater focus. We seamlessly integrate with popular tools such as Zoom, Microsoft Teams, Google Meet, and Slack, ensuring that teams remain aligned and productive, regardless of their location.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you are eager to shape the future of AI-driven collaboration and make a significant impact at a dynamic startup, we are excited to hear from you.The RoleAs a Software Engineering Manager at Read AI, you will spearhead a team dedicated to crafting the core product experiences that our users rely on daily. This is a hands-on leadership role ideal for someone with extensive React.js expertise and a solid foundation in UI/UX design. You will set high standards for quality, performance, accessibility, and design collaboration while guiding the team to deliver impactful features rapidly and consistently.You will collaborate closely with Product Design, Product Management, and cross-functional engineering teams to create intuitive, aesthetically pleasing, and scalable user experiences that empower millions of users. We particularly value leaders who leverage data, metrics, and experimentation to inform decisions, assess outcomes, and iterate swiftly.What You’ll DoLead and nurture a frontend engineering team through hiring, coaching, performance evaluations, and career development.Establish the technical direction for React.js architecture, performance, accessibility, and overall quality.Collaborate with Design and Product teams to create cohesive and elegant user experiences.Develop and refine a component and design system to enhance speed and consistency of delivery.Utilize metrics and user feedback to prioritize initiatives and continuously enhance the product.Promote an experimentation culture (A/B testing, feature flags, iterative feedback loops) to enhance user experience and engagement.Oversee execution from planning to launch, balancing speed with engineering excellence.Establish and reinforce best practices including testing, code reviews, observability, and reliable release processes.What We’re Looking ForProven experience in leading frontend engineering teams.Deep understanding of React.js and frontend technologies.Strong background in UI/UX design principles.Ability to use data to drive decisions and improvements.

Location: McLean, VA or Washington, D.C. This position requires U.S. citizenship and all work must be performed within the continental United States. Role overview The Lead AI/ML Engineer at Raft leads the design, development, and deployment of artificial intelligence and machine learning systems for mission-critical settings. This role oversees the entire lifecycle of AI solutions, from initial data ingestion and model training to production rollout. Close collaboration with engineers, data scientists, and product managers is part of daily work. This position connects advanced AI capabilities with practical applications. Working with both clients and internal teams, the Lead AI/ML Engineer ensures delivery of scalable, secure, and high-performance systems that operate in both cloud and edge environments. Key responsibilities Design and build AI and machine learning systems that integrate with high-performance data platforms. Manage the full lifecycle of machine learning solutions, from development through deployment and ongoing operation. Collaborate with cross-functional teams to deliver solutions that address client needs. Raft is a defense technology company based in McLean, VA, serving U.S. military and government agencies. The team specializes in advanced AI and machine learning, focusing on autonomous data fusion and Agentic AI. Raft delivers solutions for distributed data systems and large-scale platforms, developing digital tools that serve millions of Americans. The company emphasizes a cloud-native ecosystem and practical, transformative technology. Learn more at https://TeamRaft.com.

Join Sonsoft Inc. as a DevOps Lead/Architect specializing in Continuous Integration and Continuous Deployment. In this role, you will leverage your expertise to streamline our development processes and enhance our deployment strategies, ensuring efficient and reliable software delivery.

Join Our Mission at TwentyAt Twenty, we are committed to tackling one of the most pressing challenges of our era: safeguarding democracies in the digital landscape. We create innovative technologies that merge the realms of cyber and electromagnetic domains, where the pace of operations surpasses human perception and complexity goes beyond traditional limits. Our team not only addresses problems but also delivers transformative outcomes that significantly enhance national security. We embody a spirit of pragmatic optimism, believing that while our mission to protect America and its allies is formidable, it is indeed achievable.Position OverviewAs an Applied AI Engineer, you will develop and implement language-model-driven systems that bolster Twenty's vital cyber capabilities for U.S. national security. You will manage the complete workflow—from curating specialized datasets and post-training models to deploying dependable inference and retrieval systems in live environments. Collaborating closely with product and engineering teams, you will convert real operational demands into high-performance AI features, operating seamlessly across cloud and on-premises environments where speed, accuracy, and security are paramount.Your ProfileYou are driven by tangible outcomes and aspire for your work to directly influence national security initiatives.You prioritize rigor: clean data, quantifiable evaluations, and reproducible experiments take precedence over mere demonstrations.You strike a balance between research curiosity and product intuition—you ship, analyze, iterate, and refine.You are adept at navigating both cloud and on-premises constraints and can adjust to various environments.You convey ideas clearly to both technical and non-ML stakeholders, and your documentation is user-friendly.You understand systems thinking: models, retrieval, infrastructure, and feedback loops must function cohesively.You excel in dynamic teams with high standards, open feedback, and a strong sense of ownership.Key ResponsibilitiesDevelop, clean, and sustain high-quality training and evaluation datasets tailored for specialized AI applications.Fine-tune language models (ranging from small specialized to medium foundation models) according to mission requirements.Apply post-training and alignment techniques to enhance task performance and reliability.Construct retrieval-augmented generation (RAG) systems that integrate model outputs with external knowledge.Enhance and optimize model serving infrastructure for production deployment.

About Our TeamAt OpenAI, our User Operations team plays a crucial role in facilitating the seamless integration of AI into our customers' operations, ensuring an exceptional product experience. We are on a mission to build the first post-AGI support team, tackling intricate challenges while providing technical guidance and empowering customers to derive maximum value from our innovative solutions. Collaborating closely with Sales, Technical Success, Product, Engineering, and other departments, we strive to deliver unparalleled customer experiences across diverse organizations, from startups to established enterprises.About the PositionWe seek dedicated and passionate professionals ready to tackle complex challenges faced by our customers as we expand our post-AGI support team. In this role, you will engage directly with clients via support tickets and Slack, troubleshooting unique technical issues and setting a positive example for your peers. Your collaboration with cross-functional teams will be instrumental in driving initiatives to reduce bugs, enhance features, and develop systems that elevate our customer experience. Your contributions will help us achieve industry-leading response times and service levels, while reinforcing our internal customer feedback processes in a rapidly evolving landscape. You will play a vital role in scaling our support organization, optimizing operational processes, and leveraging our technology to redefine our support team in this new AI era.If you excel in dynamic environments that prioritize impact, collaboration, and swift problem-solving, you may be the ideal candidate to join our team.We operate on a hybrid model, requiring 3 days in the office each week, and we offer relocation assistance for new hires.Please note: In compliance with U.S. government contract requirements, applicants for this position must be U.S. citizens, U.S. nationals, or U.S. persons (i.e., lawful permanent residents, refugees, and asylees).

At Anduril Industries, we are pioneers in defense technology, dedicated to enhancing the military capabilities of the U.S. and its allies through innovative advancements. Our mission is to revolutionize the defense sector by applying cutting-edge technologies and business practices from the most innovative companies of the 21st century. Our systems are driven by Lattice OS, an AI-enhanced operating system that transforms numerous data streams into a real-time, 3D command and control platform. As global strategic dynamics evolve, we are committed to delivering state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking solutions to military forces in expedited timelines.ABOUT THE TEAMThe Air Defense team is on the front lines of modern warfare, creating advanced robotic systems designed to identify and neutralize aerial threats. In a world where air dominance is critical, our team equips warfighters with crucial capabilities. Our networked family of sensors and effectors covers the entire spectrum from detection to track, identification, deterrence, and neutralization of various unmanned aerial systems (UAS). Collaborating across product development, engineering, business development, logistics, operations, and mission success, we develop, test, deploy, and sustain the Anduril Air Defense Family of Systems in diverse operational landscapes worldwide.ABOUT THE JOBWe are seeking a dedicated Deployment and Training Lead to join our USAF team. In this pivotal role, you will provide exceptional technical training tailored to the unique needs of our partner units. As the counter unmanned systems (cUAS) subject matter expert, you will facilitate realistic training scenarios and oversee the hardware and software configurations of cUAS-specific equipment within the Anduril suite of systems. Your proactive communication and multi-functional collaboration will be essential in enhancing the overall customer experience. If you have a passion for educating others on groundbreaking technology, wish to contribute to national security, and enjoy working alongside a diverse group of professionals, we want to hear from you.As a rapidly growing company, we offer the opportunity to take ownership of projects and materials that will significantly influence our program's direction. Anduril fosters a diverse and collaborative culture with ample opportunities for personal and professional growth.

About UsAt Hiya, we are dedicated to transforming voice communication into a safe, valuable, and human experience once more.In a world where voice has become one of the least trusted forms of communication due to spam, scams, and AI manipulation, we are on a mission to restore its integrity.Every month, our advanced AI voice technology processes over 28 billion calls, safeguarding more than 550 million users and supporting over 800 businesses worldwide. We collaborate with a growing network of global partners, including AT&T, Samsung, British Telecom EE, Rogers, MasOrange, Bell Canada, MasMovil, and Virgin Media O2. Our work not only thwarts malicious actors but also empowers individuals to confidently answer their phones again.As we navigate a pivotal moment in voice technology, the demand for reliable communication is skyrocketing. Hiya is experiencing over 40% annual growth, expanding our reach globally, and redefining the future of voice.Join our team to not only contribute to the present of voice but to shape its future: more intelligent, secure, and genuinely worthy of answering.About the RoleAs an AI Engineer, you will play a critical role in developing and integrating AI solutions into Hiya’s product offerings. Your focus will be on rapid iteration, prompt engineering, and practical applications. You'll optimize foundational models, design complex multi-agent systems, and innovate solutions that will drive the next generation of voice intelligence.Key ResponsibilitiesIntegrate AI solutions into our current products and workflows.Collaborate with cross-functional teams to comprehend business needs and convert them into technical solutions.Conduct evaluations and fine-tuning of large language models (LLMs) through prompt engineering.Manage and implement AI orchestration, including agent-based systems.Contribute to the design and development of AI-driven applications and interfaces.Help define the technical direction and best practices for LLM application development.Stay updated with the latest AI research and apply cutting-edge techniques.Qualifications for SuccessStrong programming skills in languages such as Python, JavaScript, or TypeScript.Experience with foundational models and AI orchestration.Familiarity with model evaluations and prompt engineering methodologies.

About the RoleRavenna is seeking a talented AI Engineer with a strong background in developing and deploying production-level systems. Our innovative team merges cutting-edge advancements in large language models (LLMs) with established machine learning methodologies to create intelligent product experiences that stand out in the market.This position demands solid engineering principles and an insatiable curiosity about the operational aspects of AI systems. You will be responsible for designing, constructing, and maintaining LLM-powered systems that are reliable, scalable, and seamlessly integrated into our product workflows.Your role will encompass the full technology stack, from designing AI architectures to building backend infrastructures and implementing product features. You will iterate rapidly based on user feedback and performance evaluations. At Ravenna, we emphasize robust engineering practices and expect our AI Engineers to be meticulous about system design, observability, performance, and reliability.If you are passionate about leveraging advanced AI to transform established markets, we would love to hear from you.ResponsibilitiesBuild Production AI SystemsDevelop and implement systems that seamlessly integrate LLMs into real-world product workflows, including prompt pipelines, tool integrations, and structured outputs.Design Reliable LLM ArchitecturesCreate robust systems that anticipate model limitations and potential failure modes, incorporating safeguards, retries, evaluation loops, and observability into production-ready LLM features.Develop Evaluation and Experimentation FrameworksEstablish evaluation datasets and tools to measure model performance, facilitate system design iterations, and prevent regressions as models and prompts evolve.Build Retrieval and Knowledge SystemsDesign and optimize retrieval pipelines that support LLM applications, focusing on chunking strategies, indexing methods, vector search, and enhancing the quality and speed of knowledge retrieval.Ship High-Quality Product FeaturesCollaborate with product, design, and engineering teams to develop polished features that utilize AI in user-friendly and impactful ways.Maintain Strong Engineering StandardsWrite clean, maintainable, and well-tested code. Contribute to system architecture, engage in code reviews, and participate in engineering processes to ensure platform reliability and scalability.

SteerBridge Strategies is at the forefront of technological innovation, providing cutting-edge, mission-driven solutions to both the U.S. Government and private sector partners. Our expertise spans federal acquisition, digital transformation, and emerging technologies, allowing us to deliver agile, commercial-grade capabilities that enhance operational efficiency and achieve measurable success.Our team is our most valuable asset, particularly the veterans whose leadership and problem-solving skills greatly enhance our projects. At SteerBridge, we not only hire top-tier talent but also actively nurture it, fostering meaningful career pathways for veterans, military spouses, and others who share our commitment to advancing technology and supporting vital missions.The Functional Deployment Site Practitioner will play a crucial role in the comprehensive implementation of an Electronic Health Record (EHR) system across multiple medical facilities. Responsibilities include organizing and conducting discovery sessions at various hospitals and clinics to analyze workflows, clinical services, standard operating procedures, shared services, and research data. Following these sessions, the Practitioner will perform in-depth analysis to clarify functional and clinical scopes and requirements.This role necessitates a strong understanding of the client’s standard capabilities and services to effectively conduct discovery and gap analysis. Throughout the deployment lifecycle, the Practitioner will develop recommendations to address identified capability gaps, maintain relationships with key clinical and functional stakeholders, and ensure readiness for the new EHR transition. Acting as a liaison between technical and clinical teams, the Practitioner will translate requirements and changes for deployment sites and collaborate closely with Change Management (CM) and End User Engagement & Adoption (EUEA) teams to provide clinical insights. Key deployment activities will include User Readiness Assessments (URA), data collection, system building, testing, training, and adoption events, while documenting lessons learned to inform future implementations.Frequent travel to hospitals and clinics across various locations is expected, along with significant client interaction. Experience with hospital/clinic assessments and familiarity with clinical information systems, including inpatient and outpatient services, is preferred. Knowledge of Oracle EHR or similar platforms is highly desirable.

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with the most forward-thinking organizations to transform cutting-edge AI technology into substantial business outcomes. We guide clients from initial deployment through to comprehensive enterprise-wide adoption. Our responsibilities encompass technical integration, enablement, workflow transformation, and sustained program and product delivery.Working with government clients, who have crucial missions, we are committed to delivering transformative technology. Every interaction provides a chance to influence how AI revolutionizes workflows, enhances productivity, and fosters innovation. This role is pivotal to fulfilling that mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales liaison for our most significant government customers. Your responsibilities include driving account health and adoption, ensuring technical readiness, identifying innovative use cases, and delivering measurable value through OpenAI’s rapidly expanding platform.This position requires a blend of technical expertise, program management, customer consulting, and product advocacy. You will work closely with customer teams to map workflows, lead configurations, oversee deployment plans, and guide clients towards impactful use cases that exemplify the full potential of our platform.Collaboration is key; you will work in tandem with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience across all interactions. Success in this role is defined by accelerating adoption rates, enhancing customer engagement depth, steering strategic use cases into production, and helping clients realize tangible business impacts.Your Responsibilities Will Include:Leading the technical relationship for post-sale customers, acting as their trusted advisor on deployment, adoption, and value realization, including setup, configuration, and management of API instances of our products.Owning account health, adoption speed, and ongoing technical deployment success across your portfolio.Becoming an expert in all OpenAI products, including our API and agentic platform, Codex, and ChatGPT Enterprise, while conducting technical enablement and configuration sessions.Training and empowering ChatGPT users to drive adoption and derive value.Demonstrating to customers how to create custom GPTs, Agents, Connectors, and leverage all functionalities of our tools.Designing and leading interactive workshops, hackathons, and training sessions for diverse audiences.

About the CompanyArmada is an innovative edge computing startup dedicated to delivering computing infrastructure to remote areas where connectivity is scarce. We aim to facilitate data processing locally for real-time analytics and AI at the edge. Our mission is to bridge the digital divide through advanced technology infrastructures that can be rapidly deployed anywhere. About the RoleAt Armada, we harness the vast potential of AI to revolutionize operations and enhance lives in some of the world's most remote locations. From the expansive Australian mines to the oil fields of Northern Canada and the coffee plantations of Colombia, we present a unique opportunity for AI Engineers to engage with exciting AI and ML challenges on a global scale. We are seeking passionate AI Engineers with hands-on experience in areas such as real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.The ideal candidates will have robust skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Proficiency in containerization, microservices architecture, and the capability to independently deploy ML models into production is essential.If you are a self-motivated individual with a passion for cutting-edge AI, we want to connect with you. Armada provides an unparalleled opportunity to face some of the most thrilling AI and ML challenges globally. Join our dynamic AI Engineering team as we deliver groundbreaking edge-compute systems capable of autonomous learning, prediction, and adaptation using extensive, real-time datasets.We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to interact seamlessly and securely with the complexities of the real world. In doing so, we aim to bridge the digital divide.Location: This role is office-based at our Bellevue, Washington office.

About the Role:Join our dynamic Mobile Team at Read AI, where we are on a mission to capture and process high-value audio data for our innovative applications. We are dedicated to delivering intelligent, real-time insights across diverse use cases, and we thrive on creativity, collaboration, and technical excellence. Our mobile applications for iOS and Android empower users to capture audio instantly and receive AI-generated transcripts and summaries in real time, ensuring they remain present and engaged in conversations. As we broaden user interactions with Read AI, we are committed to crafting a seamless cross-device experience, allowing users to record, watch, and access Read AI wherever they are.We are seeking a Senior Mobile Engineer who will take significant ownership of our mobile applications and help shape the future of Read AI. This role is critical in scaling high-performance, AI-driven experiences to a wider audience. You will collaborate closely with product, design, and machine learning teams to develop new capabilities, while also raising the standard through mentorship, technical leadership, and robust engineering practices.If you are passionate about creating fast, reliable mobile products and making a real-world impact through AI, we would love to hear from you!Key Responsibilities:Lead major feature areas end-to-end on both iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose), from technical design to implementation, testing, rollout, and iteration.Drive the development of new mobile features and product enhancements, coordinating execution and aligning stakeholders on scope, tradeoffs, and timelines.Enhance real-time audio capture and processing across platforms, utilizing AVFoundation (iOS) and Android audio frameworks to ensure high-quality recordings and accurate transcriptions.Optimize app performance, reliability, battery efficiency, and latency to deliver smooth, real-time AI-powered transcription and summarization.Design and implement AI-driven mobile interactions, including chat-based experiences that enable users to explore, query, and act on meeting reports and insights.Collaborate closely with product, design, and ML teams to prototype and launch innovative mobile UX patterns for conversational AI, making complex information intuitive, fast, and actionable.Evolve mobile architecture patterns, ensuring scalability and maintainability.