We are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS-ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.
\nIn this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms , including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases,while operating across the full Agentic SDLC.
\nP&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.
\nWe are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.
\nResponsibilities
\nAgentic Platform & Architecture Design
\nAgentic SDLC & Engineering Delivery
\nObservability, Evaluation & Optimization
\nGovernance, Risk & Financial Services Compliance
\nTeam Leadership & Firm Contribution
\nXML job scraping automation by YubHub
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\nWe are seeking an experienced and innovative AI Product Engineer – Agentic Platforms to join our Financial Services Artificial Intelligence & Business Lines (FS-ABL) practice. This role is ideal for a consulting technologist with deep expertise in modern GenAI tooling, agentic system design, and enterprise SDLC, who can partner directly with clients to envision, design, develop, and deploy Agentic AI platforms in regulated environments.
\nIn this role, you will work at the intersection of client advisory, AI product engineering, and delivery execution, helping banks, insurers, and capital markets firms transition from GenAI pilots to production-grade, governed, multi-agent systems. You will apply leading GenAI frameworks and LLM platforms , including Anthropic, OpenAI, LangChain, LangGraph, DSPy, and vector databases,while operating across the full Agentic SDLC.
\nP&C Insurance knowledge and experience is a significant plus. Additionally, familiarity with core insurance platforms like Guidewire, DuckCreek or Majesco will be extremely helpful to succeed in this role.
\nWe are looking for candidates across all levels of experience and expertise - junior through senior level AI Product Engineers.
\nResponsibilities
\nClient Advisory & Product Vision
\nPartner directly with Financial Services clients to identify, prioritize, and shape Agentic AI use cases across customer operations, underwriting, claims, risk, compliance, finance, and technology.
\nLead client workshops to define agent personas, responsibilities, autonomy boundaries, human-in-the-loop checkpoints, and escalation logic.
\nTranslate evolving business needs into agentic product backlogs, roadmaps, and MVP definitions.
\nSupport executive conversations around GenAI platform strategy, operating models, vendor selection, and scale-out approaches.
\nAgentic Platform & Architecture Design
\nDesign and implement multi-agent architectures using modern GenAI tooling, including:
\nPlanner, executor, reviewer/critic, and supervisor agents
\nTool-calling and function-calling agents
\nMemory-enabled agents (conversation, semantic, episodic, and structured memory)
\nLeverage LangChain and LangGraph for agent orchestration, workflows, and control flow.
\nApply DSPy and declarative prompt optimization techniques for repeatability, performance tuning, and regression control.
\nDesign agent interaction patterns such as hierarchical agents, collaborating agents, and event-driven agent workflows.
\nDefine standardized agent contracts, interfaces, and schemas to enable reuse and scale.
\nAgentic SDLC & Engineering Delivery
\nOwn delivery across the full Software Development Lifecycle (SDLC), extending it into a formal Agentic SDLC, including:
\nAgent design specifications and behavior contracts
\nPrompt, policy, and tool versioning
\nSimulation environments and offline evaluation
\nAutomated testing of agent flows and guardrails
\nControlled rollout, telemetry-driven optimization, and continuous learning
\nBuild production-grade AI services primarily using Python, integrating:
\nLLM providers such as Anthropic (Claude), OpenAI, and open-source models
\nRetrieval-Augmented Generation (RAG) using vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate)
\nImplement CI/CD pipelines for agent code, prompts, and policies.
\nIntegrate GenAI agents with client systems via APIs, workflow engines, event streams, and data platforms.
\nObservability, Evaluation & Optimization
\nImplement agent observability including tracing, decision logging, tool usage, and failure analysis.
\nApply evaluation frameworks for hallucination detection, consistency checks, and fitness scoring.
\nDesign feedback loops incorporating human-in-the-loop review and reinforcement.
\nMonitor cost, latency, throughput, and behavioral drift across deployed agents.
\nGovernance, Risk & Financial Services Compliance
\nDesign Agentic AI platforms aligned with Financial Services regulatory expectations, including:
\nAuditability and traceability of agent decisions
\nModel and prompt explainability
\nData privacy and security controls
\nResilience and fail-safe mechanisms
\nEmbed guardrails and policies addressing hallucination risk, bias, unauthorized actions, and escalation failures.
\nProduce documentation supporting risk, compliance, internal audit, and regulator engagement.
\nTeam Leadership & Firm Contribution
\nProvide technical leadership and mentorship to consulting delivery teams.
\nContribute to internal GenAI accelerators, agent frameworks, and reusable assets.
\nSupport RFPs, proposals, and client solution designs with credible GenAI and agentic architectures.
\nParticipate in thought leadership on Agentic SDLC, GenAI engineering, and responsible autonomy.
\nBenefits
\nThis position comes with competitive compensation and benefits package:
\nXML job scraping automation by YubHub
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