AVP, AI (Data Science/Engineer) Remote - EST

Arch Capital Group Ltd.; United States; On-site; USD 185,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with generous matching

20 days PTO per year

Paid parental leave up to 10 weeks

Student loan assistance

Job summary

Arch Capital Group Ltd. is seeking an AVP AI Engineering / Senior Agentic Software Engineer to lead the build-out of multi-agent systems within the Strategic Analytics team. The role involves designing and delivering agentic systems that improve underwriting and claims processes.

The ideal candidate has significant software engineering experience, leadership skills, and a strong understanding of AI-driven technologies. This position also offers a competitive salary and a comprehensive benefits package.

Qualifications

• 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.
• Strong track record of shipping AI, analytics, and/or automation products.
• Strong Python experience with API development and async patterns.

Responsibilities

• Design and build multi-agent orchestration patterns.
• Lead end-to-end delivery of agentic underwriting and claims automations.
• Partner with IE on orchestration entry-point design.
• Establish coding, evaluation, and observability standards.
• Translate business intent into working agentic systems.

Skills

Software engineering

Automation engineering

Leadership

Python programming

Agentic systems

Service orchestration

Problem-solving

Communication

Education

College degree in Computer Science, Software Engineering, or Data Analytics

Tools

Azure

AWS

LangGraph

OpenAI Agents

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, we enable possibility.

Job Summary

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI‑first, agent‑driven products that change how Arch underwrites, services, and learns from its book—combining frontier LLMs, multi‑agent orchestration, retrieval‑augmented generation, evaluation harnesses, and traditional ML where it still wins. Our mission is broad: agentic automation, decision support, AI‑driven insights, and the platform engineering required to make all of it production‑grade. We have a strong track record of success, having productionalized dozens of generative AI products over the last three years, and we are seeking an AVP AI Engineering / Senior Agentic Software Engineer to lead the build‑out of true multi‑agent systems within Strategic Analytics. Reporting to the VP of AI & Automation, you will design and operate orchestrations where agents communicate directly with one another—delivering underwriting and claims automations end‑to‑end.

Key Responsibilities

• 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—delivering measurable business outcomes.

Required Skills / Experience

• 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 with financially measurable impact.
• 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 able to break them into shippable increments.
• Strong written and verbal communication; able to operate across IE, AE, DS, and business stakeholders.
• Hands‑on production experience (not POC‑only) with RAG, MCP/A2A or equivalent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool.

Desired Skills / Experience

• Background that includes a stretch of “real” software engineering before moving into analytics or AI (e.g., SWE for a few years, then a master’s in analytics, then 5+ years in the AI/ML space).
• Insurance domain familiarity—underwriting, claims, or submission lifecycle.
• Experience with retrieval‑augmented generation, evaluation harnesses, and structured‑output patterns.
• Cloud experience in Azure (preferred) 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 of staying ahead of the curve.

Education

• College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience.

Compensation & Benefits

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is as of the time of posting. Position is incentive eligible.

• Salary range: $185,000 – $235,000 per year.
• Total individual compensation (base salary, short‑ and long‑term incentives) will be influenced by geographic location, scope & responsibilities, qualifications, talent availability & specialization, and business needs.
• Benefits include multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401(k) with generous matching; 20 days PTO per year; up to 12 paid company holidays; 2 paid days of Volunteer Time Off; basic life and AD&D insurance; short‑ and long‑term disability; paid parental leave up to 10 weeks; student loan assistance and tuition reimbursement; backup child and elder care support; and more.

Location

10200 Arch Capital Services LLC