AI Platform Lead Engineer

We are looking for an AI Platform Lead Engineer to join a project focused on building an AI-powered decision platform for pharmaceutical commercial teams. The platform is being developed for a US healthcare data and analytics company. It uses pharmacy, payer, patient, and clinical data to generate AI-driven insights and recommendations, explain decisions, and track their outcomes.

You will work with a team of engineers to build the platform, develop AI solutions, and integrate them with the client's existing applications.

What We're Looking For:

• 5+ years of software engineering experience, with 2+ years focused on designing and building LLM-based and agentic systems in production
• Proficiency with Python (or similar modern backend stack) for scalable service and API development
• Hands-on experience with LLM orchestration frameworks (e.g., LangGraph, LlamaIndex, or custom agent loops) and cloud LLM services (ideally Amazon Bedrock)
• Strong hands-on AI engineering experience, including prototyping and developing core components
• Experience with event-driven, multi-tenant SaaS architecture and cloud platforms (AWS)
• Understanding of AI evaluation, traceability, audit trails, and human-in-the-loop workflows
• Experience with technical planning, scoping, estimation, and roadmaps
• Technical leadership experience, including design and code reviews for distributed teams
• Experience working directly with clients and product leadership
• Knowledge of AI governance, risk controls, human oversight, and documentation
• Understanding of data platforms and knowledge graph architecture
• Upper-Intermediate English or higher (B2+)

Your Responsibilities:

• Lead the architecture and development of the AI platform
• Design and build LLM-based solutions and AI agent workflows
• Develop prototypes and core platform components alongside the team
• Integrate AI solutions with client applications and data sources via APIs
• Design and maintain scalable cloud-based architecture on AWS
• Implement AI evaluation, monitoring, traceability, and human oversight mechanisms
• Define technical scope, estimates, and development roadmaps
• Guide engineers, conduct technical reviews, and ensure code quality
• Collaborate with client engineering and product teams

Will Be a Plus:

• Experience in Pharma, Healthcare, or Life Sciences
• Experience building AI solutions in regulated environments
• Understanding of healthcare data standards and interoperability