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 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 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 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.

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.

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.

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 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 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 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. #J-18808-Ljbffr