Principal AI ML Software Developer (Onsite)

Date Posted: 2026-04-16 Country: United States of America Location: US-TX-RICHARDSON-C17 ~ 1717 Cityline Dr ~ CITYLINE C17 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required after day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This role leads the development of AI‑powered software engineering tools by building and orchestrating advanced SDLC agents that improve coding, testing, and CI/CD workflows. It requires strong Python skills and hands‑on experience with LLMs, prompt engineering, secure system design, and modern DevOps technologies to deliver scalable, secure AI solutions. What You Will Do Develop a suite of SDLC agents, each specialized for tasks like requirements analysis, code generation, debugging, and automated testing. Implement Zero Trust Security principles across the agentic ecosystem. Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents. Develop and integrate Model Context Protocol (MCP) into SDLC agents, allowing agents to use tools. Craft and refine sophisticated prompts to guide agent behavior and ensure high-quality, reliable outputs from Large Language Models (LLMs). Implement Agent-to-Agent (A2A) communication protocols, enabling seamless collaboration and information sharing between agents. Implement API-driven GenAI tools to enhance the CICD Pipeline Collaborate with product and engineering teams to integrate the agentic system into our existing development workflows. Write clean, efficient, and well-documented code while following best practices for building AI-driven systems. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM), and a minimum of 8 years of Software Engineering experience. Experience as a Software Developer, specifically with Python. Experience with LLMs and popular AI frameworks (e.g., poolside, LangChain). Experience in prompt engineering, including techniques for complex reasoning, planning, and tool use. Experience working on a generative AI Agent and/or open-source related project. The ability to obtain and maintain a U.S. government issued TS/SCI clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer A degree in Computer Science and/or Computer Engineering. Practical experience applying Zero Trust Security principles. Experience with platform development and DevOps tools, including containerization (Docker) and orchestration (Kubernetes). Experience with the Atlassian suite (JIRA, Confluence, etc.) Familiarity with CI/CD pipelines and deployment automation. Experience with UI design is preferred Knowledge of distributed systems, process management, and workflow orchestration. A conceptual understanding of advanced agentic concepts like A2A communication and multi-agent consensus. Experience designing and evaluating software architectures for scalable, secure AI-driven systems What We Offer Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care. Relocation Eligibility - Relocation assistance is available. #LI-Onsite

#LI-HS30

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms #J-18808-Ljbffr RTX