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Director​/Chief Architect-AI

Job in Scranton, Lackawanna County, Pennsylvania, 18512, USA
Listing for: KeyLogic Systems
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
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 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.
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.
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 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.
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

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.

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