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.
Enterprise AI & Platform Intern at ServBeyond Solutions in Rockville, Maryland. Assisting in enterprise systems configuration, maintenance, and AI - driven evolution with a dynamic technical team.
Consultant(e) au sein du Domaine d’excellence Data & IA chez Square Management, intervenant sur les enjeux de transformation pour des grands comptes dans l’Industrie.
AI Consultant developing and implementing innovative AI strategies and solutions to support organizations in their data - driven transformations. Working in a hybrid environment across Switzerland.
Managing Consultant leading client delivery and build for AI - driven change management practice at Campana & Schott. Requires experience in pharma and AI tool development with substantial project involvement.
Conversational AI Specialist designing customer experiences for Agentic AI. Crafting conversational content and collaborating closely with engineers for seamless customer interactions.
Senior Manager leading AI product strategy and development of internal capabilities at Oliver Wyman. Partnering with stakeholders to drive product roadmaps and strategic initiatives.
Principal Consultant leading the selling and delivery of AI projects for Life Sciences R&D. Crafting strategic AI roadmaps and guiding solution delivery alongside data scientists and engineers.
Distinguished Technologist driving AI architecture and technical design for HPE private cloud solutions. Leading AI initiatives and architectural decisions across PCAI’s applied AI portfolio.