Back End AI Engineer Systems Integration

4 weeks ago

Falls Church, United States Northrop Grumman Full time

Requisition ID: R10161717

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

We are seeking a back-end AI engineer, to join the Insights Team within the Enterprise Insights & Analytics (EI&A) organization. This position will report to the Manager, Insights, EI&A.

This role will sit in our Falls Church, VA location but we may also consider a hybrid or teleworker arrangement for this position. This position can be hired as a Level 4 or Level 5, depending on the candidate's experience and education.

Enterprise Insights & Analytics is reimagining decision making at Northrop Grumman. We are a team of strategic analysts, scientists, engineers, and technologists who use science, research and data to identify strategic insights and create innovative analytic solutions for our business. As a back-end AI engineer, you be responsible for incorporating AI into a system of systems (SoS) architecture and ensuring the development of AI-enabled systems meet our mission. 

As a back-end AI engineer, you will be curious, detail-oriented, and ethically conscious. You seek to ask the right questions about our strategies, the business, and how we can use data to find solutions. You are a strategic thinker who can translate data to create well-informed decisions to enable better business outcomes. You want to drive positive change for our organizations, are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them. You will build deep and trusted partnerships at the working and organizational levels.

Responsibilities will include, but are not limited to:

Incorporate AI into a system of systems (SoS) architecture.

Utilize a range of AI development environments and tools, implemented in back-end services. 

Develop integration and test procedures by implementing and validating approaches, including emerging methods for muti-agent system of systems (SoS) requirements. 

Ensure the smooth operation and long-term sustainability of AI-enabled integrations. 

Work closely with front-end and back-end developers and other stakeholders to integrate and deploy AI related tools integrated within Azure resources.

Design, develop, and maintain scalable and robust AI-enabled web applications.

Implement and optimize Retrieval Augmented Generation (RAG) methods to enhance AI systems with relevant, up-to-date information. 

Develop and maintain data pipelines for processing and formatting data for retrieval systems. 

Setup and manage vector databases or search indexes optimized for semantic search and similarity matching. 

Craft effective prompts that combine user queries with retrieved context to generate high-quality outputs. 

Evaluate and monitor RAG outputs using robust metrics and continuous feedback loops.

Implement back-end services and APIs using server-side languages (e.g., Node.js, Python) and frameworks.

Ensure seamless AI integration of front-end and back-end components.

Implement monitoring, alerting, and automatic scaling solutions to ensure application performance and availability.

Conduct thorough testing and debugging to ensure high-quality and reliable code.

Adhere to best practices for code quality, security, and performance.

Stay current with industry trends, emerging technologies, and best practices in software development.

Contribute to the continuous improvement of our development processes and standards.

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