Northrop Grumman is hiring a Manager of AI Engineering to lead the AI Infrastructure Engineering team within the Insights & Intelligence (i2) organization. This role will report to the Senior Manager of Platforms and Automation.  This role is based in Falls Church, VA and hybrid and/or remote options will be considered for the right candidate. 

Insights & Intelligence (i2) is reimagining decision making at Northrop Grumman. As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses to drive our data, analytics & AI transformation. 

As the AI and Analytics Platform manager you will manage a team of DevOps and AI Systems Engineers that maintain, modify, and implement infrastructure, API Gateways, and cloud solutions in support of our AI and Analytics strategy.  This position requires a split between technical and functional management duties. 

Responsibilities include but are not limited to the following: 

• Design and implement systems capable of scaling to meet growing data and computation demands in AI applications. 

• Develop and execute a strategic vision for AI infrastructure that aligns with organizational goals. 

• Oversee the execution and delivery of items on the AI infrastructure roadmap, ensuring timelines and budgets are met. 

• Establish metrics to evaluate the performance and reliability of AI infrastructure and implement improvements based on findings. 

• Ensure that the AI infrastructure complies with relevant regulations and security standards, implementing necessary controls 

• Track advancements in AI technologies and infrastructure trends and evaluate applicability to the organization’s strategy. 

• Work alongside data scientists, software engineers, and i2 functional teams to integrate AI solutions into existing systems and processes. 

Basic Qualifications: 

• Bachelors or advanced Degree in Computer Science, Software Engineering, Information Systems or a related field  

• Must have 8 years of relevant experience with a Bachelors Degree OR 6 Years of relevant experience with a Masters Degree.

• At least 5 years' experience maintaining infrastructure in support of data or AI tools 

• At least 5 years' experience implementing the back-end infrastructure for COTS or SaaS platforms 

• Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders 

Preferred Qualifications: 

• Experience managing cross-functional teams and guiding stakeholder collaboration 

• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical specifications. 

• Experience in managing vendor relationships and negotiating contracts or service agreements. 

• AWS Certified Cloud Practitioner certification or higher 

• Previous experience leading a team of 5-12 employees