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Director/Chief Architect-AI
Job in
Morgantown, Monongalia County, West Virginia, 26501, USA
Listed on 2026-06-04
Listing for:
International Executive Service Corps
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Systems Engineer
Job Description & How to Apply Below
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.
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
- 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.
- 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.
- 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.
- 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
- 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
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