AI tools enablement engineer

Senior-level AI engineer, not a PM or governance lead
Focused on enabling enterprise AI tools, not building one-off use cases
Will evaluate platforms like Azure AI, Bedrock, Gemini, Glean, Copilot
Needs hands-on experience building and productionizing AI solutions
Must have worked across multiple AI tools (not just one project)
Responsible for POCs, tool selection, and enterprise rollout readiness
Heavy cross-functional work with security, cloud, and architecture
Building a centralized AI ?agent hub? for internal users
Must understand AI architecture (RAG, APIs, orchestration, integrations)
Experience in regulated environments is important

Logistics:
Location: 100% Remote

Overview
We are seeking a highly technical Senior Systems Engineer to lead the evaluation, enablement, and deployment of enterprise AI platforms. This role sits at the forefront of our AI strategy, focused on building and scaling a centralized AI ?agent hub? that enables employees across the organization to leverage AI tools securely and effectively.

This is not a governance or program management role. We are looking for a hands-on engineer who has worked across multiple AI platforms, understands how to productionize AI solutions, and can evaluate, integrate, and operationalize tools in a highly regulated environment.

What You?ll Do
Evaluate and compare enterprise AI platforms (e.g., Azure AI, Copilot Studio, AWS Bedrock, Google Gemini, Glean) for enterprise use
Design and execute proof of concepts (POCs) to validate AI tools and capabilities
Build and enable a centralized AI ?agent hub? experience for internal users
Develop reusable patterns for AI tool enablement, integration, and deployment
Partner with security, architecture, cloud, and networking teams to ensure compliant and scalable implementations
Assess architecture, data flow, identity models, and integration patterns for AI tools
Ensure AI solutions are production-ready, including monitoring, support models, and lifecycle management
Help define enterprise strategy around user enablement (build vs. buy, centralized vs. decentralized AI usage)
Work closely with operations teams to transition solutions into run-state environments
Stay current on emerging AI tooling, vendor roadmaps, and agentic AI capabilities
Must-Have Qualifications
5+ years of experience in systems engineering, platform engineering, or similar technical roles
Hands-on experience implementing AI/ML or generative AI solutions in enterprise environments
Experience working across multiple AI platforms (Azure AI, Copilot, Bedrock, Gemini, Glean, etc.)
Proven experience building or contributing to productionized AI solutions (not just POCs or single-use cases)
Strong understanding of AI architecture concepts (RAG, orchestration, agent frameworks, APIs, integrations)
Experience conducting technical evaluations and tool assessments
Knowledge of security, privacy, and compliance considerations in AI environments
Experience working in regulated environments (healthcare, financial services, etc.)
Strong collaboration skills with cross-functional teams (security, cloud, architecture


Benefits:

York Solutions Offers a generous benefits package for eligible full-time employees:

• BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
  
• Delta Dental plan with 2 free cleanings and insurance discounts
  
• Eye Med Vision with annual check-ups and discounts on lens
  
• Life and Accidental Death Insurance paid by company
  
• John Hancock 401(k) Retirement Plan with discretionary company match
  
• Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
  
• Flexible work environment with some remote working opportunities
  
• Strong fun and teamwork environment
  
• Learning, development, and career growth