Manager - AI Tech Transformation - TC - FS

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We are seeking a Manager, AI Architect specializing in generative AI to lead the design and delivery of GenAI solutions for our clients. This is a hands‑on delivery and technical management role: you will own the architecture of a defined solution area or workstream, lead a small delivery team, and ensure your solutions run reliably in production. You will work closely with client teams and communicate technical decisions clearly to project stakeholders.

• Own the architecture and technical delivery of a GenAI solution area or workstream, from design through production rollout.
• Lead a small cross‑functional delivery team (engineers, data specialists) through the delivery lifecycle.
• Ensure solutions are scalable, secure, resilient, and cost‑aware in production.
• Manage delivery execution: architecture decisions within scope, technical risks, dependencies, quality checks, and blocker resolution.
• Apply engineering standards, reusable frameworks, and accelerators to improve delivery quality and speed.
• Take accountability for delivery quality, timelines, and outcomes within your workstream.

• Design generative AI solutions: LLM selection, RAG pipelines, prompt orchestration, agentic workflows, and integration.
• Build solutions for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact‑center copilots).
• Design and tune RAG systems: chunking, embeddings, vector stores, retrieval tuning, and grounding to reduce hallucination.
• Implement multi‑agent and tool‑calling workflows that automate insurance processes.
• Apply LLMOps and quality practices: prompt engineering, evaluation, guardrails, monitoring, versioning, and cost/latency optimization.
• Apply responsible AI practices: hallucination controls, PII handling, bias mitigation, explainability, and compliance (NAIC, GDPR, EU AI Act).
• Support integration with core insurance platforms (Guidewire, Duck Creek, Sapiens) and enterprise data/content systems.

• Act as a technical point of contact and advisor to client project stakeholders.
• Translate GenAI concepts, tradeoffs, and risks into clear explanations for technical and business audiences.
• Prepare and deliver clear presentations and demos to project stakeholders.
• Coordinate across business, IT, and compliance stakeholders on solution decisions.
• Guide and mentor junior engineers and consultants; help uphold technical standards.

• Hands‑on ownership of solution design and delivery.
• Clear communication with technical and business stakeholders.
• A collaborative, mentoring mindset with a small team.
• Outcome‑focused and quality‑driven.

• Bachelor's or Master's in Computer Science, Engineering, or a related field.
• Experience in technology, including hands‑on delivery of enterprise solutions and delivering production generative AI initiatives.
• Hands‑on experience delivering production‑grade systems.
• Hands‑on experience with LLMs (OpenAI, Anthropic, Google, or open‑weight models like Llama/Mistral) and orchestration frameworks (Lang Chain, Llama Index, Semantic Kernel, or equivalent).
• Practical expertise in RAG design, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search).
• Experience with agentic architectures, function/tool calling, and structured outputs.
• Solid prompt engineering, evaluation, and LLM guardrail/safety experience.
• Experience…