VP of AI Solutions

About the role

PCI Government Services is seeking a Senior Practice Leader to build, shape, and scale an AI capability for the federal market. This role is designed for an executive who has delivered AI in real-world federal environments, understands the tension between ambition and execution, and can translate that judgment into repeatable offerings, credible client advice, and secure delivery.

Responsibilities

• Define and evolve our AI solutions strategy across data, analytics, automation, and generative AI, grounded in client demand, federal compliance realities, and delivery feasibility.
• Design and oversee reusable AI offerings, including copilots, accelerators, RAG-enabled solutions, and automated workflows deployable across federal programs.
• Make pragmatic build, buy, and partner decisions, balancing speed, risk, and long-term differentiation.
• Establish responsible AI guardrails aligned to the NIST AI RMF, agency governance policies, and federal AI policy frameworks.
• Translate complex federal mission needs into architecturally sound AI solutions that agency CIOs, program managers, and contracting officers can adopt.
• Advise senior agency stakeholders with independent credibility on AI adoption, change management, and organizational readiness.
• Guide clients through the operational and institutional changes that determine whether AI integration succeeds in practice.
• Serve as a senior technical leader on priority pursuits and engagements, shaping solution architectures, security design, and delivery approaches.
• Oversee delivery of AI solutions that meet federal security requirements, including ATO processes, FedRAMP-authorized platform constraints, cloud enclave environments, and data classification controls.
• Guide teams on model risk, explainability, data readiness, and responsible AI deployment in mission-critical settings.
• Support business development by shaping win strategies, contributing to technical proposal volumes, and engaging directly with clients during solutioning discussions.
• Build and mentor a team of AI and analytics practitioners capable of delivering confidently and independently.
• Work cross-functionally with security, operations, and business development to ensure solutions are compliant, competitive, and positioned to win.

Requirements

We are less interested in titles than in evidence. Successful candidates typically bring:

• 15+ years in AI, data science, analytics, or automation, with at least 4-6 years of hands-on experience designing and deploying generative AI and LLM-based solutions in production federal environments.
• A demonstrated record of building and delivering secure AI solutions inside governed federal settings, not just prototypes or proofs of concept.
• Direct experience navigating FedRAMP authorization processes, ATO packages, NIST AI RMF implementation, and agency-specific AI governance requirements.
• Fluency operating in cloud enclave environments such as AWS GovCloud or Azure Government, and designing AI architectures within those constraints.
• Experience guiding federal agency clients through AI adoption, including the organizational, operational, and change-management dimensions that determine real success.
• A background that includes both helping win and then delivering solutions, not one or the other.
• An active federal agency network and direct experience advising agency leadership on AI strategy.
• A security clearance is preferred, with at least Secret eligibility and the ability to obtain TS/SCI if required.

Qualifications

Experience at large GovCon firms, federal management consulting practices, or highly regarded boutiques is common in this profile, but not required if you bring equivalent depth and credibility.

Technical Architecture and Delivery

• Define and evolve our AI solutions strategy across data, analytics, automation, and generative AI, grounded in client demand, federal compliance realities, and delivery feasibility.
• Design and oversee reusable AI offerings, including copilots, accelerators, RAG-enabled solutions, and automated workflows deployable across federal programs.
• Make pragmatic build, buy, and partner decisions, balancing speed, risk, and long-term differentiation.
• Establish responsible AI guardrails aligned to the NIST AI RMF, agency governance policies, and federal AI policy frameworks.
• Translate complex federal mission needs into architecturally sound AI solutions that agency CIOs, program managers, and contracting officers can adopt.
• Advisory senior agency stakeholders with independent credibility on AI adoption, change management, and organizational readiness.
• Guide clients through the operational and institutional changes that determine whether AI integration succeeds in practice.
• Serve as a senior technical leader on priority pursuits and engagements, shaping solution architectures, security design, and delivery approaches.
• Oversee delivery of AI solutions that meet federal security requirements, including ATO processes, FedRAMP-authorized platform constraints, cloud enclave environments, and data classification controls.
• Guide teams on model risk, explainability, data readiness, and responsible AI deployment in mission-critical settings.

Growth and Go-to-Market

• Support business development by shaping win strategies, contributing to technical proposal volumes, and engaging directly with clients during solutioning discussions.
• Build and mentor a team of AI and analytics practitioners capable of delivering confidently and independently.
• Work cross-functionally with security, operations, and business development to ensure solutions are compliant, competitive, and positioned to win.

What you will bring

• 15+ years in AI, data science, analytics, or automation, with at least 4-6 years of hands-on experience designing and deploying generative AI and LLM-based solutions in production federal environments.
• A demonstrated record of building and delivering secure AI solutions inside governed federal settings, not just prototypes or proofs of concept.
• Direct experience navigating FedRAMP authorization processes, ATO packages, NIST AI RMF implementation, and agency-specific AI governance requirements.
• Fluency operating in cloud enclave environments such as AWS GovCloud or Azure Government, and designing AI architectures within those constraints.
• Experience guiding federal agency clients through AI adoption, including the organizational, operational, and change-management dimensions that determine real success.
• A background that includes both helping win and then delivering solutions, not one or the other.
• An active federal agency network and direct experience advising agency leadership on AI strategy.
• A security clearance is preferred, with at least Secret eligibility and the ability to obtain TS/SCI if required.

Pay Range

$400,000 - $500,000 per year

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