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

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℠.

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 (MCP, A2A), retrieval-augmented generation, evaluation harnesses, and traditional ML.  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 (productionalizing dozens of high quality Gen AI products over the last 3 years) - we aim to continue scaling these efforts and are seeking an AVP AI Engineering  to lead the architecture & development of true multi-agent systems within Strategic Analytics. Reporting to the SVP of AI & Automation, you will design and operate orchestrations where agents communicate directly with one another — not just sequential, hand-off-driven workflows. After architecting the multiagent system, you will automate complex decisions by using Data Science frameworks/processes. This will happen in the system you create and production solutions must work at high levels of accuracy. You will partner with Implementation Engineering (IE) on the orchestration entry points and any infrastructure-side connectors. 

Key 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. 

Required Skills / Experience 

• 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. 

Desired Skills / 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. 

Education 

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

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

$185,000 - $235,000/year

• Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
• Arch is committed to helping employees succeed through our comprehensive benefits package that includes 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 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. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

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