Director​/Chief Architect-AI

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 Dev Sec Ops  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.

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. Dev Sec Ops  & Cloud Stack Engineering

• Architect secure cloud‑native platforms leveraging Kubernetes, containers, and microservices.
• Lead Dev Sec Ops  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.

• U.S. Citizenship is a requirement.
• 10+ years of experience in Agile Dev Sec Ops  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.

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

This role will:

• Accelerate AI adoption across mission‑critical systems.
• Strengthen 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.

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