Posted:
1/28/2026, 5:21:43 AM
Location(s):
Virginia, United States ⋅ Falls Church, Virginia, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
Workplace Type:
Hybrid
Northrop Grumman is hiring a Chief AI Architect within the Insights & Intelligence (i2) organization to define and drive our enterprise-standard AI architecture and roadmap. This Chief AI Architect will report to the AI Platforms and i2 Operations Director and be remote and/or hybrid supporting the Falls Church, VA office.
Insights & Intelligence (i2) is reimagining decision making at Northrop Grumman and driving our data, analytics & AI transformation. As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses.
As the Chief AI Architect, you will define and drive the AI architectural roadmap to include evaluation of emerging generative and agentic AI technologies, selection of open source & proprietary models and frameworks, and contribution to the end-to-end design and deployment of AI solutions across the enterprise. You will bring your deep understanding of AI capabilities and limitations, hands-on software engineering expertise, and knowledge of the aerospace and defense industry together into a comprehensive AI architectural vision.
You will be curious, innovative, and proactive, looking ahead to address the technical challenges and business needs of tomorrow. You will champion the adoption of AI by example, leveraging AI in your everyday work to boost your own productivity.
This role can be filled at the Staff (T05) or Senior Staff (T06) level depending on the qualifications below.
Responsibilities include (but are not limited to) the following:
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
Basic Qualifications:
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 Qualifications:
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
Website: https://northropgrumman.com/
Headquarter Location: Falls Church, Virginia, United States
Employee Count: 10001+
Year Founded: 1994
IPO Status: Public
Last Funding Type: Grant
Industries: Data Integration ⋅ Manufacturing ⋅ Remote Sensing ⋅ Security ⋅ Software