Position Description

Director/Chief Architect-AI
Location Hybrid Morgantown, WV
Employee Work Status Full time
ID 2705
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Position Overview - We are seeking a visionary and execution-focused Director – AI /Chief Architect to lead the design, deployment, and growth of mission-driven AI ecosystems across federal and enterprise markets.

This executive will operate at the intersection of:

  • Advanced AI/ML and Generative AI architectures
  • Scientific and engineering modeling
  • Innovation experimentation, including digital twins and robotics
  • Technical solutioning and business capture for new funding
  • Agile DevSecOps and cloud-native engineering
  • Enterprise modernization strategy

The ideal candidate engages potential customers with a vision of the future of scientific computing backed by modern architectures and coordinates the strategic capture of multi-million dollar growth opportunities.

 

Key Responsibilities

1. Innovation & Emerging Technology Strategy

  • Establish and lead AI & Innovation Labs.
  • Forecast emerging technologies and assess mission relevance.
  • Develop enterprise AI roadmaps and modernization strategies.
  • Guide patent development, IP strategy, and technology differentiation.
  • Serve as executive advisor to C-suite and senior government stakeholders on AI transformation.
  • Domain Expertise in Scientific and Engineering Modeling for Energy or Materials

2. AI/ML & LLM Architecture Leadership

  • Define enterprise AI/ML architecture strategy aligned to mission outcomes.
  • Architect secure, scalable LLM and ML platforms (cloud, hybrid, and classified environments).
  • Lead development of:
    • Generative AI architectures
    • MLOps pipelines
    • Model governance and responsible AI frameworks
    • AI-enabled decision support systems
  • Oversee model lifecycle management from experimentation through production deployment.
  • Establish secure data ingestion, validation, and labeling ecosystems.
  • Drive AI adoption across energy mission systems and enterprise platforms.

3. DevSecOps & Cloud Stack Engineering

  • Architect secure cloud-native platforms leveraging Kubernetes, containers, and microservices.
  • Lead DevSecOps CI/CD pipeline design and automation
  • Design Zero Trust–aligned cloud and hybrid architectures.
  • Modernize legacy systems into scalable, resilient, cloud-native ecosystems.
  • Ensure compliance with federal security standards and classified environments.

4. Business Capture & Growth Enablement

  • Lead strategic capture team efforts
  • Shape opportunities with solution architectures, MVPs, white papers, and RFIs
  • Lead technical volumes for high-value proposals.
  • Align AI/ML and cloud architecture strategies with funding narratives and agency priorities.
  • Mentor solution architects, capture managers, and pre-award teams.
  • Identify emerging funding pathways tied to AI modernization and secure cloud adoption.

5. Organizational Leadership & Talent Development

  • Build and lead high-performance AI/ML development teams.
  • Establish best practices for AI/ML governance.
  • Mentor senior architects and engineering leaders.
  • Foster interdisciplinary collaboration across engineering, BD, and operations.

 

Preferred Qualifications

  • U.S. Citizenship is a requirement
  • 10+ years of experience in Agile DevSecOps engineering, physics-based modeling systems, engineering design principles, modeling & simulation, high-performance computing, and integration of AI/ML into complex mission-driven environments.
  • 10+ years in senior technical leadership roles.
  • Demonstrated experience architecting and deploying AI/ML systems at scale.
  • Deep expertise in cloud-native architectures (AWS, Azure, GCP, hybrid)
  • Experience in federal or regulated environments (DOE, civilian agencies, or equivalent).
  • Proven track record supporting or leading technical capture efforts.
  • Strong executive communication and stakeholder engagement skills.
  • Background in high-performance computing and advanced analytics ecosystems.
  • Applied knowledge of physics-based modeling, materials science, and engineering systems, with experience integrating AI/ML into modeling & simulation of physical systems.
  • Patent contributions or innovation leadership experience.
  • Direct experience increasing revenue pipeline through technical growth strategy.

 

Key Competencies

  • Visionary systems thinker
  • Innovation catalyst
  • Executive presence with technical depth
  • Secure AI architecture authority
  • Growth-minded technologist
  • Cross-functional integrator
  • Strategic communicator and networker

 

Strategic Impact of This Role

This role will:

  • Accelerate AI adoption across mission-critical systems.
  • Strengthening integration between engineering excellence and business growth.
  • Drive differentiated technical capabilities in competitive pursuits.
  • Position the company as a leader in AI for scientific and engineering modeling

About KeyLogic:

Supporting critical missions at the intersection of data and science, KeyLogic provides mission management, systems analysis, data analytics, digital transformation, and cybersecurity to customers in the energy, federal civilian, and defense sectors, with a 20+ year portfolio of successes supporting DOE, DOC, EPA, DOD, DHS, FBI, and other federal agencies challenged with complex missions. We help our customers solve the world’s most challenging problems with unsurpassed anticipatory service.

KeyLogic employs over 400 team members, including systems designers, developers, data scientists, IT and cybersecurity specialists, engineers, mission experts, program managers, and more than 70 Ph.D. scientists. This multidisciplinary team works together solving challenging problems with anticipatory service—always staying one step ahead—benefiting our customers, and ultimately helping build a better world.

We are committed to the success of each customer’s mission. We care enough to make their mission our mission and their success our success. We take technical service delivery to a level above our peers. Our anticipatory service is best-in-class.

KeyLogic is an Equal Opportunity/Equal Access Employer.  KeyLogic is committed to a policy of non-discrimination against individuals on the basis of any legally protected status.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at Recruiting@KeyLogic.com and let us know the nature of your request and your contact information.  Request for accommodation will be considered on a case-by-case basis. 

 

Job Code:
2705
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