AI Advisor

Join Implement Consulting Group as an AI Advisor, where you will leverage your expertise in artificial intelligence to guide our clients towards successful AI implementations. You will work collaboratively with diverse teams to analyze client needs, design solutions, and ensure effective integration of AI technologies.

Join our innovative team as a Senior AI Engineer at Implement Consulting Group, where we are dedicated to pioneering advanced AI solutions. We are looking for a candidate with extensive hands-on experience in generative AI, API integrations, and sophisticated agent-based applications. The ideal applicant is not only a proficient Python developer but has also successfully transitioned into the realm of generative AI, demonstrating expertise with frameworks such as OpenAI, LangChain, and LlamaIndex.Your core responsibilities will include:Leading the design and implementation of generative AI solutions: You will spearhead the creation and integration of generative AI applications, utilizing APIs like OpenAI and other LLM providers to deliver impactful solutions tailored to our clients’ ecosystems.Developing advanced autonomous agents: Engage in the design, deployment, and optimization of multi-agent systems that autonomously resolve complex tasks using frameworks such as Swarm.Integrating AI models seamlessly: Collaborate with RESTful APIs and WebSockets to embed advanced AI functionalities within our clients' existing systems, ensuring dynamic and reliable interactions.Implementing MLOps for AI pipelines: Oversee the deployment of AI model pipelines using tools like Docker while monitoring performance to enhance workflows for reliability and scalability.Configuring cloud environments: Set up secure and efficient cloud environments for both internal and client operations to facilitate the utilization of a modern AI software stack.Fostering collaboration: Work closely with cross-functional teams, including engineering, product management, and business units, to identify and address real-world challenges through AI solutions.Mentoring junior engineers: Provide guidance and support to junior team members in applying generative AI concepts, promoting a culture of collaboration and innovation.Staying ahead of AI trends: Keep abreast of the latest developments in generative AI technologies, evaluating and recommending new tools and frameworks to enhance our offerings.

Role overview implementconsultinggroup is looking for a Senior AI Platform Engineer to help shape and build advanced AI solutions in Hellerup. This role focuses on designing and developing AI systems alongside colleagues from different disciplines. What you will do Architect AI systems that support business and technical goals Develop and implement machine learning algorithms Work closely with cross-functional teams to improve AI platform capabilities Monitor and optimize the performance of AI technologies Who we’re looking for This position suits someone with a strong background in artificial intelligence and hands-on experience building AI platforms. Curiosity and a drive to innovate are important in this role.

Join The Tech Collective as a Senior AI Engineer and leverage your expertise in generative AI, API integrations, and advanced agent-based applications. We are looking for a highly skilled Python developer who is well-versed in generative AI and proficient with frameworks such as OpenAI, LangChain, and LlamaIndex. This pivotal role is key to our mission of delivering cutting-edge AI solutions to our clients.Your primary responsibilities will entail:Designing and deploying generative AI solutions: Spearheading the development of generative AI applications that utilize APIs like OpenAI and other LLM providers, ensuring seamless integration into client ecosystems.Developing advanced agents and automation: Creating, deploying, and optimizing autonomous agents with frameworks like Swarm and other agent-focused tools, while concentrating on multi-agent systems to solve complex tasks independently.Integrating AI models into client platforms: Utilizing RESTful APIs and WebSockets for the integration of AI capabilities into existing client systems to facilitate responsive generative AI interactions.Implementing MLOps for AI pipelines: Overseeing model deployment pipelines using containerization tools such as Docker, tracking model performance, and enhancing system workflows for reliability and scalability.Configuring modern cloud environments: Setting up secure and efficient cloud environments for both internal and client uses to maximize the potential of our AI software stack.Collaborating across teams: Working closely with stakeholders in engineering, product management, and business to identify and devise AI solutions that address real business challenges.Mentoring junior engineers: Providing guidance on the practical application of generative AI and fostering a culture of collaborative innovation.Staying updated on technology trends: Continuously researching advancements in generative AI, evaluating and recommending tools, frameworks, and libraries that enhance our solutions' efficiency and impact.

Join Implement Consulting Group as a Lead AI Red Team Specialist, where you will spearhead innovative research focused on enhancing agentic security. In this pivotal role, you will lead a team of experts in assessing AI systems for vulnerabilities, ensuring robust defenses against emerging threats. Your work will directly influence the development of secure AI technologies that prioritize ethical considerations and user safety.

Join Our Team as a Senior Cloud & Infrastructure Engineer for AI Solutions!Are you passionate about shaping the future of AI technology? At one of the leading AI consultancies in the Nordics, we are seeking a dynamic Senior Cloud and Infrastructure Engineer with extensive hands-on experience in deploying cutting-edge applications within Microsoft Azure. Your RoleAs a pivotal member of our AI team within the Tech Collective, you will collaborate with a diverse group of professionals specializing in ML/AI development, conversational design, and strategic transformation. While expertise in AI is not a prerequisite, your proficiency in architecting, deploying, and maintaining secure, scalable platforms is essential, along with a strong desire to learn and grow.Your primary responsibilities will include:Designing and Operating Cloud Infrastructure for AI Systems: Architect robust, secure, and scalable cloud environments for AI-driven applications across Azure and additional cloud providers.Containerization and Orchestration: Implement containerized services utilizing Docker and cloud-native tools, set up CI/CD pipelines, and ensure seamless operational workflows.Networking, Security, and Access Management: Develop resilient architectures encompassing VNETs, private endpoints, API gateways, identity configurations, and monitoring setups for enterprise-level deployments.Collaboration on Cross-Functional AI Projects: Work closely with backend, full-stack, and AI engineers to facilitate the deployment and operation of innovative agent-based and generative AI applications.Infrastructure-as-Code and Automation: Leverage modern tools for automated provisioning, ensuring reproducible and maintainable environments for client projects.Solution-Level Architecture Design: Create system designs, comprehend how software components interact, and provide guidance to teams on best practices for production deployment.Performance, Monitoring, & Observability: Establish logging, metrics, and monitoring systems to guarantee the reliable operation of AI applications.Staying Up-to-Date with Modern Cloud Technologies: Assess new cloud services, deployment patterns, and security practices tailored to AI-intensive workloads. Your QualificationsThe ideal candidate will possess a thorough understanding of cloud-native architectures, containerization, networking, and secure deployments, with enthusiasm for applying these skills to create and manage pioneering AI solutions.We prefer candidates with at least three years of practical experience in designing, deploying, and managing cloud-based applications.

Join Our Team as a Senior Full-Stack Developer with a Focus on AI!We are seeking a Senior Full-Stack Developer who possesses a robust understanding of contemporary web development and a keen enthusiasm for AI-driven applications. This position is ideal for those who are capable of navigating the entire development stack—from crafting front-end interfaces to managing backend services—and are eager to delve deeper into the AI landscape.Your Role and ResponsibilitiesAs a key member of our team, you will contribute to providing cutting-edge AI consulting services and solutions for our clients in the Tech Collective. While expertise in AI is not a prerequisite, it is essential that you excel in building strong full-stack systems, integrating modern APIs, and collaborating effectively with AI engineers to bring intelligent functionalities to fruition.Your primary responsibilities will include:Developing modern full-stack applications: You will create high-quality, production-ready solutions utilizing frameworks such as React, Next.js, Vite, or other advanced front-end frameworks like Svelte or Vue. The ability to quickly transform initial concepts into functional prototypes is highly valued.Implementing user-facing features: You will ensure the delivery of fast and reliable interfaces with thoughtful state management (e.g., TanStack Query, provider–consumer patterns) seamlessly integrated with backend and AI-powered functionalities.Backend development and API design: You will design and implement backend services and APIs utilizing FastAPI, .NET, Python, or TypeScript-based frameworks. Familiarity with clean architectural patterns, such as domain-driven design, is a plus.Data management and distributed systems: You will design data models across SQL/NoSQL databases, understand distributed system behaviors, and integrate event- or streaming-based features (e.g., SSE or WebSockets).Embedding AI features: You will work closely with AI specialists to incorporate language models, retrieval pipelines, or generative features into applications.Cloud deployment: You will use Docker, CI/CD, and cloud services to deploy and maintain secure, scalable client solutions.Cross-functional collaboration: You will engage with engineers, product owners, and business stakeholders to develop technical solutions that meet real client needs.Continuous learning: You will remain up-to-date with emerging frameworks, tools, and best practices for building AI-enhanced applications.What You Bring to the TeamThe ideal candidate will have at least three years of full-stack development experience, particularly with a strong emphasis on modern front-end frameworks. You should feel confident in your skills and your ability to collaborate effectively in a team-oriented environment.

The Senior Scientific Specialist in Data Science and AI at Novo Nordisk Foundation will help drive digital transformation in health and sustainability. This position is based in Hellerup, Capital Region of Denmark, and centers on advanced data science and artificial intelligence to support projects with broad societal impact. The Team The Technical Science Department brings together six scientific professionals, including bioinformaticians, a team coordinator, and an office trainee. The team collaborates on developing research infrastructure and technology, and works closely with universities, funding agencies, and other partners both within Denmark and internationally. Role Focus This specialist role is dedicated to advancing data science and AI across health, sustainability (such as agriculture and food systems), and the wider life sciences. The position involves advising on established and emerging data science approaches, and supporting a variety of interdisciplinary projects throughout the Foundation. Key Responsibilities Develop and manage strategic initiatives within the Technical Sciences department and across the Foundation. Lead and enhance Data Science open competition programs, supporting related projects across the organization. Provide expert data science guidance for all Novo Nordisk Foundation program areas. Stay informed on scientific developments by reviewing literature, assessing applications, and participating in conferences. Prepare clear reports, recommendations, and documentation as required.

We are seeking a highly skilled Senior Full-Stack Engineer with a passion for developing AI-first products. In this role, you will take ownership of projects from initial client requirements and exploratory hypotheses to creating production-ready systems that deliver real value.Your Role:You will be part of The Tech Collective's Data & AI hub, where we assist organizations in designing, building, and operationalizing data- and AI-driven solutions.This position is ideal for a systems thinker and builder—someone who has successfully launched real products, directed technical strategies, and is driven to devise practical solutions that integrate data, software, and AI.You will collaborate closely with seasoned AI experts who have profound knowledge in model and machine learning while you focus on crafting robust products and software that harness these capabilities.Your Responsibilities:End-to-end ownership: Design and implement full-stack applications from initial concepts and prototypes to scalable, production-grade systems, making architectural decisions across frontend, backend, data, and cloud technologies.Modern full-stack development: Create high-quality frontends and backend services while applying solid software engineering principles and leveraging AI-assisted development tools judiciously.AI product development: Work with AI specialists to integrate large language models (LLMs), retrieval pipelines, and intelligent patterns into tangible products that effectively address organizational needs.Data and systems thinking: Design data models, analyze distributed systems and trade-offs, and implement event-driven or real-time features where they add value.Cloud operations and collaboration: Deploy and maintain solutions in cloud environments, balancing efficiency, robustness, and security, while partnering closely with clients and stakeholders to drive meaningful business impact.