AVP, AI Engineering

Arch Capital Group Ltd.

AVP AI Engineering developing multi-agent systems transforming insurance underwriting and claims processing. Collaborating across teams, driving automation and AI insights for business outcomes.

Posted 5/28/2026full-timeRemote • Connecticut, New Jersey, New York, North Carolina • 🇺🇸 United StatesLead💰 $185,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies

AzurePython

About the role

Key responsibilities & impact

Design and build multi-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A
Lead end-to-end delivery of agentic underwriting and claims automations, from prototype through production hardening
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.

Requirements

What you’ll need

7+ years of software engineering and/or automation engineering experience
3+ years of people leadership experience
Demonstrated experience building production grade multi-agent or agentic systems (not just POCs that did not ship)
Strong track record of shipping AI, analytics, and/or automation products that have a financially measurable impact on the business
Strong Python experience with API development, async patterns, and service orchestration
Hands-on experience with at least one agentic framework (e.g., LangGraph, Claude Cowork / Agent SDK, OpenAI Agents, AutoGen) and at least one inter-agent protocol (MCP, A2A)
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.

Benefits

Comp & perks

multiple medical plans plus dental, vision and prescription drug coverage
competitive 401k with generous matching
PTO beginning at 20 days per year
up to 12 paid company holidays per year plus 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
and more.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAPI developmentasync patternsservice orchestrationmulti-agent systemsagentic systemsproduction experienceAI stackagentic orchestration frameworksobservability standards

Soft Skills

people leadershipproblem solvingcommunicationcollaborationtranslating business intentresilienceoperating across teams