Northrop Grumman · 1 hour ago
Staff/Sr. Staff AI Engineer Systems Architect
Northrop Grumman is a leading aerospace and defense technology company, seeking a Chief AI Architect within their Insights & Intelligence organization. This role focuses on defining and driving the enterprise-standard AI architecture and roadmap, evaluating emerging AI technologies, and ensuring alignment with business needs.
AerospaceData IntegrationManufacturingRemote SensingSecurity
Responsibilities
Define the enterprise standard generative AI and agentic AI architecture through the analysis and selection of solutions and frameworks that are scalable, secure, adaptable and maintainable
Enable a hybrid cloud/on-prem architecture that fulfills unclassified and classified AI needs balanced with affordability and flexibility
Stay abreast of the latest research and technology in the AI market
Advise technical teams on AI architecture and design within enterprise platforms
Develop strong relationships with key CIDO and AI stakeholders to ensure that critical business needs are understood and addressed within the architectural roadmap
Define standards and processes for AI architectural reviews, model evaluation, and solution testing
Demonstrate thought leadership by advising senior executives and technical leadership on AI strategy, ROI, and risk
Qualification
Required
Staff level: Must have at least 12 years of relevant experience with bachelor's degree in computer science, Engineering, Data Science, or a related field; 10 years with Masters; or 8 years with PhD
Senior Staff level: Must have at least 14 Years of relevant experience with bachelor's degree in computer science, Engineering, Data Science, or a related field; 12 Years with Masters; or 10 Years with PhD
Must have At least 3 years focused on generative and agentic AI
Must have a proven track record of architecture, deployment, and operation of large‑scale AI systems
Must have demonstrated experience with machine learning, NLP, RAG, and data platforms
Must have demonstrated proficiency in relevant programming languages (e.g., Python, Java) and AI/ML frameworks
Must have demonstrated ability to evaluate and integrate open‑source AI projects (e.g., LangChain, Llama‑Index, Hugging Face, Ray, OpenAI SDKs)
Must have hands-on experience with cloud native AI services (e.g., AWS Sagemaker, Azure OpenAI Service, etc.)
Must have proven ability to translate complex AI concepts into clear opportunities, risks, and outcomes for non-technical audiences
Preferred
Active Top Secret/SCI Security Clearance
Recognized cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, etc.)
Demonstrated technical knowledge of MCP servers and applications within Agentic AI use cases
Familiarity with model development or MLOps frameworks and tools
Familiarity with the latest GPU hardware for model development and hosting
Awareness of cybersecurity considerations for Generative and Agentic AI deployments
Demonstrated experience transitioning AI prototypes/pilots into production
Proven contributions to open-source AI projects
Proven experience developing and/or deploying AI/ML solutions within classified and/or air-gapped environments
Proven track record of setting process and technical standards and driving team adoption and accountability
Benefits
Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business
Company
Northrop Grumman
Northrop Grumman is an aerospace, defense and security company that provides training and satellite ground network communications software.
Funding
Current Stage
Public CompanyTotal Funding
$3.7BKey Investors
U.S. Department of DefenseNASA
2025-05-27Post Ipo Debt· $1B
2024-01-29Post Ipo Debt· $2.5B
2023-12-20Grant· $72M
Leadership Team
Recent News
2026-01-24
2026-01-23
alleywatch.com
2026-01-20
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