AI Product Pilots Technical Lead (AI Platforms)

Ampcus, Inc; Chantilly (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Ampcus Inc is seeking an AI Platform Technical Lead (AI Platforms) in Chantilly, VA to evaluate, pilot, and deploy enterprise AI platforms that meet security and integration standards. The role emphasizes collaboration with IT, Security, Legal, and Business teams to ensure pilots transition to production with minimal risk.

The candidate will design pilots, assess platform readiness, and establish frameworks to manage deployments securely and efficiently, aligning with enterprise roadmaps.

Qualifications

• Experience leading enterprise software deployments, pilots, or production readiness assessments.
• Strong understanding of cloud platforms, AI technologies, and enterprise system integration.
• Experience with deployment readiness, release management, or production support models.
• Knowledge of IT governance, security, and compliance requirements.
• Strong analytical, problem-solving, and stakeholder communication skills.

Responsibilities

• Evaluate AI platforms for architecture, integration, data handling, performance, and security.
• Design pilot programs to test deployment readiness and define success criteria.
• Coordinate governance processes (IT, Legal, Security, Compliance) for pilots.
• Lead end-to-end pilot deployment and provide hands-on technical support.
• Define deployment readiness criteria and provide go/no-go recommendations.
• Serve as liaison among IT, stakeholders, and vendors to enable production shift.

Skills

Enterprise software deployments

Pilot/program design

Cloud platforms & AI tech

Security & compliance

Stakeholder communication

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Product Pilots Technical Lead (AI Platforms)

Location(s): Chantilly, VA

Job Summary

The Product Pilots Technical Lead (AI Platforms) is responsible for evaluating, recommending, and ensuring that new AI platforms meet enterprise requirements, and are pilot and deployment ready through rigorous technical evaluation, structured pilot design, deployment readiness, and controlled implementation. This role focuses on validating whether AI products (e.g., Microsoft Copilot and similar products) offer performant and value-added capabilities; are secure; are technically, operationally, and organizationally ready for pilot and scaled rollout; and are DevSecOps and end-user supported. The position plays a critical role in translating pilot outcomes into deployment readiness decisions, ensuring that platforms meet enterprise standards for integration, security, performance, and supportability before broader adoption. The Technical Lead partners with IT, Business, Security, Legal, Compliance and other stakeholders and vendors to reduce risk and accelerate successful AI deployment.

Key Responsibilities

• AI Platform Technical Evaluation
  • Conduct deep technical evaluations of AI platforms, including architecture, integration capabilities, features/capabilities, data handling, system performance, data security, and more.
  • Build on and establish evaluation frameworks and test cases aligned to enterprise deployment requirements.
  • Validate platform compatibility with existing infrastructure, identity systems, and enterprise tools.
  • Assess reliability, maintainability, security, and support requirements for production usage.
• Pilot Planning & Design for Readiness Validation
  • Design pilot programs specifically to test deployment readiness for 3rd party AI platforms in real-world scenarios.
  • Define pilot scope, success criteria, and test cases that simulate production conditions and usage patterns.
  • Ensure pilots generate the data needed to make informed scale decisions (e.g., capabilities, performance, adoption, support load, risk exposure).
  • Align pilot objectives with AI Roadmap.
• Governance, Risk & Compliance
  • Navigate pilots through enterprise approval processes (IT, Legal, Security, Compliance) with a focus on production deployment requirements.
  • Ensure AI platforms meet all data privacy, security, and regulatory standards prior to scaling.
  • Evaluate risks related to AI model behavior, data exposure, and operational controls.
• Pilot Deployment & Operational Support
  • Coordinate end-to-end pilot deployment, including provisioning, environment configuration, and system integration.
  • Partner with IT service providers and vendor to implement solutions in alignment with production-like standards.
  • Provide technical oversight and hands-on support to ensure stable, reliable pilot execution.
  • Monitor pilot environments to identify issues impacting future deployment viability.
• Deployment Readiness Assessment
  • Lead end-to-end assessment of AI platform readiness for enterprise deployment, including technical, operational, and governance dimensions.
  • Define and evaluate deployment readiness criteria such as scalability, integration maturity, security posture, support model, and user adoption readiness.
  • Identify gaps, risks, and dependencies that could impact production deployment and develop mitigation strategies.
  • Provide clear go/no-go recommendations for scaling based on pilot results and readiness benchmarks.
• Stakeholder Engagement & Enablement
  • Serve as the central liaison between IT, control owners, business stakeholders, and vendors.
  • Communicate readiness status, risks, and requirements clearly to both technical and non-technical audiences.
  • Enable stakeholders to understand what is required to move from pilot to production.
• Documentation & Standardization
  • Develop and maintain deployment readiness frameworks, checklists, and pilot playbooks.
  • Standardize methodologies for evaluating and preparing AI platforms for scale.
  • Capture lessons learned to continuously improve deployment readiness processes.

Required Qualifications

• Experience leading enterprise software deployments, pilots, or production readiness assessments.
• Strong understanding of cloud platforms, AI technologies, and enterprise system integration.
• Experience with deployment readiness, release management, or production support models.
• Knowledge of IT governance, security, and compliance requirements.
• Strong analytical, problem-solving, and stakeholder communication skills.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.