Director of Enterprise Architecture (GenAI)

Responsibilities

• Build and implement Generative AI and Agentic AI capabilities that enhance internal business processes and customer experiences.
• Develop and govern AI agents and copilots, including experience with Microsoft Copilot Studio and enterprise agent development patterns.
• Design and develop Agentic AI solutions leveraging Model Context Protocol (MCP), Google Agent Development Kit (ADK), LangGraph / LangChain, and Agent Engine on Google Cloud Platform (GCP).
• Ensure AI and GenAI solutions are architecturally aligned with enterprise technology strategy, and meet scalability, security, resiliency, and compliance requirements.
• Drive enterprise adoption of GenAI and Agentic AI frameworks, establishing reusable patterns, reference architectures, and best practices.
• Lead and execute proofs of concept (POCs) to evaluate emerging AI technologies, tools, and frameworks, and transition successful POCs into production-ready solutions.
• Collaborate closely with Enterprise Architects, Platform Engineering, Security, and Data teams to ensure AI solutions align with approved reference architectures and governance standards.
• Stay current with industry trends in Generative AI, agent frameworks, and AI platforms, proactively recommending innovative and practical solutions for enterprise use cases.
• Familiarity with security and privacy controls for AI/ML workloads to protect against exploitation of data or models during training, validation and inference.
• Managing security policy and drift detection at scale across the enterprise.
• Cloud Security (AWS & GCP)
• Architect and implement secure cloud solutions leveraging native services and third-party tools.
• Define and enforce cloud security posture management (CSPM), identity and access management (IAM), secrets, key management and encryption strategies.
• Collaborate with DevOps and cloud engineering teams to embed security into foundational networking components, CI/CD pipelines and infrastructure-as-code.
• Datacenter & Hybrid Security
• Ensure secure integration between cloud platforms and on-prem datacenters, including network segmentation, VPNs, and secure data flows.
• Oversee security controls for legacy systems and their modernization paths.
• GenAI Security Enablement
• Define security and governance frameworks for GenAI platforms and use cases.
• Ensure responsible AI practices including data privacy, model integrity, explainability and ethical AI usage.
• Collaborate with AI/ML teams to secure model training, inference, and deployment pipelines.
• Governance & Collaboration
• Serve as a key member of the Enterprise Technology & Solution Governance
• Partner with business, IT, and risk stakeholders to align security architecture with enterprise goals.
• Provide technical guidance and mentorship to junior engineers and architects on AI development practices.
• Required Qualifications:
• Experience : 10-12 years in Engineering / Architecture disciplines, with at least 2+ years in GenAI and Agentic AI development.
• Project Delivery : Must have at least one GenAI or Agentic AI project end-to-end delivery experience.
• Technical Expertise : Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, RAG, and Vertex AI.
• Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
• Experience developing IaC and application pipelines using modern automation and DevOps tooling (e.g., Terraform, GitHub Actions)
• Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.
• Programming Skills : Python, Java, or similar languages for AI development.
• Cloud Certifications : GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.
• Education : Bachelor's or Master's degree in Computer Science, AI/M

Additional Information

Dir Architecture - IA06CE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford is seeking a highly skilled, hands-on AI Architect to support the Enterprise Technology Architecture (ETA) organization. This role will be responsible for leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape , including AWS, Google Cloud Platform (GCP), and on-premises data centers . The AI Architect will play a critical role in enabling the responsible and secure adoption of Generative AI (GenAI) technologies , establishing architectural standards, and driving the implementation of multiple internal-facing GenAI use cases . This role requires a strong blend of strategic architectural background and hands-on technical execution . This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at The Hartford? Share your experience