Senior AI Models Engineer at Heidi leading AI research and development initiatives. Focusing on improving model performance in healthcare domain with hybrid work environment.
About the role
- AI Product Architect Director at FDB leading technical architecture and product innovation in AI systems. Blending technical insights with product strategy to enhance healthcare data experiences.
Responsibilities
- Own the end-to-end architecture for generative AI and agent-based systems
- Prototype and iterate quickly using modern AI tools (e.g., LangChain/LangGraph, AutoGen, CrewAI, Azure OpenAI, Claude)
- Define and maintain reference architectures, reusable components, and best practices for AI system reliability, observability, safety, and compliance
- Translate business and product requirements into scalable technical architectures, including APIs, integration patterns, and data workflows
- Partner with engineering teams to transition prototypes into production-grade systems
- Lead or contribute to architectural reviews, modeling, risk assessments, and design governance for AI initiatives
- Ensure all AI solutions meet standards for security, ethics, explainability, and responsible use
- Identify high-value opportunities for generative and agentic AI across FDB’s products, workflows, and customer experiences
- Partner with Product Management to shape the AI roadmap, define value hypotheses, and validate use cases through experimentation and user research
- Drive rapid prototyping, concept testing, and MVP definition to evaluate feasibility, desirability, and commercial impact
- Establish technical success metrics for AI systems, including performance, safety, ROI, and adoption signals
- Communicate trade-offs and architectural considerations to technical and non-technical stakeholders
- Serve as a thought partner to business and product leaders, helping FDB build differentiated, AI-powered capabilities.
Requirements
- 10+ years in engineering, technical architecture, AI/ML systems, or related fields
- 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based systems
- Demonstrated experience in architecting complex distributed systems
- Experience partnering closely with Product on strategy, discovery, and prioritization
- Expertise in prompt engineering, model evaluation, and rapid AI prototyping
- Familiarity with Azure ecosystem, vector databases, orchestration frameworks, and modern AI tooling
- Ability to communicate technical concepts clearly to executives, customers, and cross-functional teams.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long term disability
- Life insurance
- Matching 401k
- Paid holidays
- Paid time off
- Employee assistance program
- Other company benefits
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