AI Platform Lead Engineer
First seen by Alion on Nov 11, 2026.
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