VP, Implementation Engineer (Remote - EST Hours)

McNeil & Co.; Raleigh (NC); Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Comprehensive medical plans

401(k) with generous matching

20 days PTO per year

Paid Parental Leave

Job summary

McNeil & Co. is seeking a VP Implementation Engineering to lead the engineering vision and strategy for AI/ML systems. This dynamic role involves driving innovation, ensuring compliance, and leading a multi-team organization to build and produce cutting-edge AI solutions.

The ideal candidate should have over 10 years in software engineering, with significant leadership experience and a proven track record in production-grade AI systems. Remote flexibility offered, with competitive compensation and benefits.

Qualifications

• 10+ years of software engineering and/or automation engineering experience.
• 8+ years of people leadership experience, including leading other managers.
• Demonstrated experience building production-grade AI and/or ML systems.

Responsibilities

• Translate AI strategy into scalable engineering execution.
• Architect and govern AI/ML system designs.
• Build and lead a multi-team AI/ML engineering organization.

Skills

Software engineering

Automation engineering

People leadership

Communication

Problem solving

Education

College degree in Computer Science, Software Engineering, or equivalent

Tools

Azure

AWS

Job description

Job Summary

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI/ML‑first products that change how Arch underwrites, services, and learns from its book — combining frontier LLMs, multi‑agent orchestrations and traditional ML. Our mission includes agentic automation, decision support, AI/ML‑driven insights, and the engineering required to make all of it production‑grade. Arch is seeking a VP Implementation Engineering to own the engineering vision, strategy, and production backbone for agentic and ML systems across Strategic Analytics.

Key Responsibilities

• Translate AI strategy into scalable engineering execution—ensuring AI systems are safe, observable, cost‑effective, compliant, and aligned with product and business outcomes.
• Architect and govern AI/ML system designs including multi‑agent flows, complex orchestrations, RAG, classical ML services, and hybrid architectures.
• Productionize AI/ML solutions into stable, low‑latency, compliant, scalable applications.
• Build, lead, and develop a multi‑team AI/ML engineering organization—including managers and senior engineers—setting technical standards and a culture of rigorous, maintainable delivery.
• Drive organization‑wide alignment by influencing senior executives, peer engineering leaders, and product leaders; resolve prioritization conflicts and clarify accountability boundaries.
• Spearhead the AI/ML Software Development Life Cycle (SDLC) balancing rapid experimentation with scalable, production‑grade engineering standards.
• Establish robust practices for versioning, deployment, CI/CD pipelines, logging, and automated rollback strategies.
• Build and operate observability, monitoring, and alerting systems to track model drift, latency, throughput, and cloud computing cost governance.

Required Skills / Experience

• 10+ years of software engineering and/or automation engineering experience.
• 8+ years of people leadership experience, including leading other managers and leaders.
• Demonstrated experience building production‑grade AI and/or ML systems.
• Resilient problem solving—comfortable with ambiguous problems.
• Exceptional communication and influence; able to operate across teams.

Desired Skills / Experience

• Insurance domain familiarity (underwriting, claims, or submission lifecycle).
• Experience with complex orchestrations and microservice designs.
• 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.
• Education: College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience.

Location & Compensation

This role may sit remotely; being located near an Arch office is preferred but not required. For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided as of the time of posting. Position is incentive eligible. Zone1: $180,000-$210,000/year. Zone2: $180,000-$240,000/year. Zone3: $200,000-$270,000/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.

Benefits

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 401(k) 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.