Note: The job is a remote job and is open to candidates in USA. Arch Capital Group Ltd. is a company that promotes progress and inspires clients, employees, and communities to achieve their greatest potential. They are seeking an AVP AI Engineering to lead the architecture and development of multi-agent systems within Strategic Analytics, focusing on AI-driven insights and automation. The role involves designing orchestration patterns, delivering automation solutions, and collaborating with various engineering teams to achieve business outcomes.
Responsibilities
- Design our multi-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A
- This may be a blend of build & buy
- Lead end-to-end delivery of agentic underwriting and claims automations, from prototype through to production
- Use precision/recall, calibration, confidence thresholds, error analysis, and business-impact measurement to determine when automation is safe to deploy
- Design decision frameworks that combine LLMs, retrieval, traditional ML, business rules, and human review
- Identify the conditions where the automation should be trusted, reviewed, or discarded
- Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent gateways) so the AE/IE seam is clean and scalable
- Lead offshore engineers and team members on agentic patterns, prompt engineering, and reliability practices
- Establish coding, evaluation, and observability standards for agentic systems within the AI & Automation Center of Excellence
- Translate business intent into working agentic systems — not just systems that compile, but systems that deliver measurable business outcomes
Skills
- 7+ years of software engineering and/or automation engineering experience
- 3+ years of Data science experience
- 3+ years of people leadership experience
- Demonstrated experience building production grade multi-agent or agentic systems (beyond POC work)
- Strong track record of developing supervised learning models (ML and/or GLMs) that have a financially measurable impact on the business
- Strong experience sourcing & evaluating vendors
- Strong Python experience
- Resilient problem solving — comfortable with ambiguous problems and capable of breaking them into shippable increments
- Strong written and verbal communication; able to operate across IE, AE, DS, and business stakeholders
- Demonstrated, hands-on production experience (not POC-only) with the current AI stack: RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool. Comfort scanning for and trialing new tooling as the space evolves
- College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience
- P&C insurance domain familiarity — underwriting, claims, or submission lifecycle
- Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output patterns
- Cloud experience in Azure (preferred for our stack) and/or AWS; familiarity with private endpoints and enterprise-grade safeguards
- Experience leading multidisciplinary teams (onshore + offshore) for technology delivery
- Visible track record of self-directed learning in the AI space — side projects, contributions to agentic frameworks, write-ups, conference talks, or other evidence that the candidate is investing personal time staying ahead of the curve
Benefits
- Multiple medical plans plus dental, vision and prescription drug coverage
- A competitive 401k with generous matching
- PTO beginning at 20 days per year
- Up to 12 paid company holidays per year
- 2 paid days of Volunteer Time Offer
- Basic Life and AD&D Insurance as well as Short and Long-Term Disability
- Paid Parental Leave of up to 10 weeks
- Student Loan Assistance and Tuition Reimbursement
- Backup Child and Elder Care
- Click here to learn more on available benefits.
Company Overview