VP, AI/ML Implementation & Production Systems

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

Benefits offered by this job

Medical plans

Dental and vision coverage

401k with matching

PTO 20 days

Paid holidays

Life and AD&D Insurance

Disability insurance

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Backup Child and Elder Care

Job summary

Arch is seeking a VP Implementation Engineering within Strategic Analytics to own the engineering vision, strategy, and production backbone for agentic and ML systems. You will lead an organization spanning managers and senior engineers, driving scalable AI/ML delivery and a culture of rigorous, maintainable engineering practices.

The role emphasizes architecture governance, SDLC ownership, and cross-team influence to align AI initiatives with business outcomes, while enabling safe, observable,

Qualifications

• 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

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.
• AI/ML Lifecycle Ownership: 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.

Skills

Software engineering

People leadership

Production AI/ML systems

Problem solving

Communication

Education

College degree in CS/SE/Data Analytics

Tools

Azure/AWS cloud platforms

Job description

Arch is seeking a VP Implementation Engineering within Strategic Analytics to own the engineering vision, strategy, and production backbone for agentic and ML systems. You will lead an organization spanning managers and senior engineers, driving scalable AI/ML delivery and a culture of rigorous, maintainable engineering practices.

The role emphasizes architecture governance, SDLC ownership, and cross-team influence to align AI initiatives with business outcomes, while enabling safe, observable,