Senior Technical Advisor for Artificial Intelligence (AI)

KBR • Beavercreek, OH

5d • Hybrid

About The Position

KBR provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a S enior Technical Advisor for Artificial Intelligence (AI) to acts as the principal technical authority within the Office of the CTO, shaping enterprise AI strategy and driving execution across the IR&D portfolio. This role also provides technical guidance for select capture efforts and program execution activities.

Requirements

• Bachelor’s in Computer Science, Data Science, Science, Engineering, or related field
• 12+ years in AI/ML development for government or defense programs.
• Hands-on expertise with Python ecosystems (PyTorch/TensorFlow/scikit learn), data engineering (Spark/SQL), vector/RAG pipelines, and AI at the edge.
• Proven design of secure, scalable AI solutions in AWS GovCloud or Azure Government, including container orchestration (Docker/Kubernetes), IaC, and DevSecOps toolchains.
• Track record of leading multi-disciplinary teams, influencing senior stakeholders, and authoring high quality technical documents.
• Ability to obtain and maintain Secret clearance; U.S. citizenship required

Nice To Haves

• Advanced degree (Master’s or PhD) in AI/ML or related discipline.
• Depth in one or more mission domains: ISR, EW, Autonomy, C2, Cyber, Space, or Logistics analytics.
• Experience with foundation models, multi modal learning, RL, generative and agentic AI.
• Certifications: AWS/Azure AI/ML, Security+, CISSP, SAFe (or equivalent).

Responsibilities

• Define reference architectures for applied AI (vision, NLP, multi modal, decision support, edge inference) across MTS programs; review designs for performance, robustness, security, and cost.
• Establish and continuously improve AI engineering practices (data pipelines, feature stores, MLOps/CI CD, observability, model lifecycle, drift management).
• Lead Responsible AI, model risk management, and governance processes; ensure compliance with customer requirements and enterprise policies (e.g., RMF/NIST controls, CMMC alignment, data rights/export controls, privacy).
• Review IR&D proposals for feasibility, viability, and desirability; advise on performance metrics, test/validation plans, VV&A, and mission suitability; steer IR&D to mission-focused, reusable capabilities aligned with the CTO's tech strategy.
• Mentor engineers and data scientists in advanced methods (e.g., robust ML, XAI, optimization, signal processing with ML); facilitate technical communities of practice and knowledge reuse.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees