Agentic AI Engineer

RTX BBN Technologies is hiring an Agentic AI Engineer to design, develop, and deploy agentic AI systems. This hybrid role in Arlington, VA focuses on Python-based frameworks, evaluation-driven experimentation, and translating research outcomes into deployable prototypes, with TS/SCI security clearance requirements.

Key Responsibilities

• Design, build, and deploy agentic AI systems that support autonomous reasoning, planning, and multi-step task execution.
• Create and optimize Python-based frameworks and tools to enable scalable agent architectures.
• Incorporate advanced agentic AI research into practical applications through rapid prototyping of new capabilities.
• Work with research scientists and engineers to plan experiments, evaluate system performance, and deliver high-quality technical documentation.
• Lead or contribute to peer-reviewed publications, white papers, and internal research briefs.
• Partner with product and engineering teams to convert research insights into real-world impact.

Required Qualifications

• Experience with Python, including building production-quality systems.
• Experience developing agentic or autonomous AI systems.
• Experience applying latest research in agentic AI, including LLM architectures, planning algorithms, or autonomous reasoning.
• Experience designing and running experimental evaluations for AI models or agents.
• Technical writing skills, including authoring research papers, preprints, or detailed technical reports.
• Ability to collaborate across cross-functional research and engineering teams.
• Ability to obtain and maintain a U.S. government issued security clearance is required, and U.S. citizenship is required.

Technologies

• Python

Preferred Qualifications

• Graduate degree in computer science, machine learning, artificial intelligence, or a related field.
• Experience with reinforcement learning, multi-agent systems, or cognitive architectures.
• Contributions to open-source AI frameworks or agentic toolkits.
• Familiarity with cloud-native development, distributed compute, or containerized workflows.
• A track record of published research in top AI/ML conferences or journals.

What You Will Learn

• Advanced techniques in agentic AI, including tool-use, planning algorithms, multi-agent coordination, and memory architectures.
• Methods for translating emerging research into production-ready systems at scale.
• Best practices for evaluating autonomous AI behaviors with an emphasis on safety, reliability, and alignment.
• Collaboration workflows across research, engineering, and product teams.
• Exposure to a broad range of generative AI, reinforcement learning, and orchestration frameworks.

Benefits

• 100% paid tuition program
• Generous 401k company match
• Retirement Contribution
• Performance-based incentive plans
• Onsite gym and game room
• Paid parental leave
• Paid time off
• Employee discounts
• Medical, dental, vision, and life insurance
• Short-term disability
• Long-term disability
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Holidays

Location and Salary

Arlington, VA, United States (hybrid)

USD 95,500 - 181,700 per year