Lead AI Architect (Agentic Systems) Location: Remote - USA
Reports To: Head of Innovation & AI
About Tokio Marine HCC Tokio Marine HCC (TMHCC) is a global specialty insurance leader known for financial strength, underwriting excellence, and an unwavering commitment to innovation. Backed by the Tokio Marine Group, we combine deep industry expertise with forward-thinking technology to deliver outstanding solutions to clients worldwide.
We are investing significantly in next-generation AI capabilities to modernize operations, accelerate decision-making, and transform how value is delivered across our diverse portfolio of specialty insurance businesses. Joining TMHCC means becoming part of a high-performance culture that values integrity, collaboration, continuous improvement, and responsible innovation.
Position Summary We are seeking a Lead AI Architect (Agentic Systems) - to serve as a foundational leader in TMHCC's next phase of enterprise AI adoption. This role is central to defining and implementing the technical strategy, architecture, and scalable infrastructure required to deploy intelligent, agent-driven systems across the organization.
This individual will not only own the architectural blueprint for TMHCC's agentic AI landscape but will also build and lead a small engineering team responsible for developing reusable components, frameworks, and system integrations. This work will accelerate AI adoption across multiple business units and drive measurable impact on underwriting, claims, operations, and enterprise efficiency.
You will act as the senior technical authority for AI engineering-balancing hands-on development, experimentation, and prototyping with high-level architectural leadership, governance alignment, and cross-enterprise stakeholder engagement.
Key Responsibilities Architectural Leadership - Define the enterprise architecture for agentic AI systems, including orchestration frameworks, multi-agent systems, integration patterns, and scalability standards.
- Establish technical standards for security, compliance, observability, and monitoring of AI agents in alignment with TMHCC enterprise and regulatory requirements.
- Evaluate build-versus-buy strategies for agent frameworks, orchestration layers, and platform components.
Team Leadership & Development - Hire and lead a team of 2-3 AI software developers focused on reusable enterprise assets (agent frameworks, knowledge stores, connectors, microservices).
- Provide mentorship, conduct code reviews, and enforce best practices in AI, ML, and software engineering.
- Foster a culture of innovation, rapid experimentation, and responsible AI development.
Hands-On Delivery - Design and implement reference architectures, prototypes, and production-ready agentic AI solutions.
- Collaborate with Innovation, IT, Cybersecurity, and business teams to integrate AI systems into existing workflows, data sources, and technology stacks.
- Develop a central library of AI assets (prompt templates, connectors, adapters, orchestration logic, reusable services).
Strategic Enablement - Serve as a thought leader on agentic AI, multi-agent orchestration, and emerging cognitive architectures.
- Influence enterprise AI strategy, ensuring architectures support scalability across 12 business units globally.
- Partner with Legal, Compliance, and Cybersecurity to shape responsible AI guardrails and governance models.
Qualifications Required - 10+ years of experience in software architecture, with 5+ years specializing in AI/ML engineering or intelligent automation.
- Deep expertise with LLM integration and agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
- Strong experience deploying AI/ML systems in cloud environments (Azure, AWS, Google Cloud Platform).
- Advanced knowledge of API design, microservices, and system integration patterns.
- Proven ability to lead technical teams and build scalable enterprise solutions.
- Excellent communication skills, with the ability to influence executives and partner across technical and non-technical domains.
Preferred - Experience in insurance, financial services, or other regulated industries.
- Familiarity with enterprise data governance, cybersecurity, and compliance frameworks.
- Exposure to reinforcement learning, multi-agent systems, or advanced AI research.
- Track record building shared platforms or assets supporting federated business units.
What We Offer - Opportunity to be a founding architect in TMHCC's enterprise AI evolution.
- Ability to shape and lead a high-impact AI engineering team.
- Access to cutting-edge tools, vendors, research partnerships, and emerging technologies.
- Competitive compensation, benefits, and long-term growth opportunities within a global specialty insurance leader.
The pay range for this position is $153,600 - $310,200, which includes geographic adjustments, where applicable.
This range reflects the compensation TMHCC, in good faith, believes is accurate at the time of posting. The final offer will be determined based on the candidate's geographic location, qualifications, work experience, education, and/or skill level.
Tokio Marine HCC is fully committed to ensuring equal pay opportunities for equal work regardless of color, race, sex, national origin, sexual orientation, religion, age, veteran status, disability, pregnancy, citizenship status, genetic information, or any other basis protected by federal, state, or local pay equity laws.
The Company will consider for employment all qualified applicants, including those with criminal histories, consistent with the requirements of federal, state, and local laws, including the Violent Crime Control and Law Enforcement Act of 1994 (18 1033(e)) and applicable fair chance hiring laws.
Tokio Marine HCC is a member of the Tokio Marine Group, a global company with a long history of financial strength and stability. TMHCC is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, national origin, gender, sexual orientation, age, disability, marital status, veteran status, or other protected characteristics.
For more information, visit
;/b> . 
Never miss an opportunity! Create an alert based on the job you applied for.
