Principal AI ML Software Developer; Onsite

Location

US‑TX‑RICHARDSON‑C17 ~ 1717 Cityline Dr ~ CITYLINE C17

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 Dev Ops technologies to deliver scalable, secure AI solutions.

• 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 existing development workflows.
• Write clean, efficient, and well‑documented code while following best practices for building AI‑driven systems.

• 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., Lang Chain).
• Experience in prompt engineering, including techniques for complex reasoning, planning, and tool use.
• Experience working on generative AI agent and/or open‑source related projects.
• 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.

• A degree in Computer Science and/or Computer Engineering.
• Practical experience applying Zero Trust Security principles.
• Experience with platform development and Dev Ops 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.
• Knowledge of distributed systems, process management, and workflow orchestration.
• 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.

• Competitive total rewards package including compensation, healthcare, wellness, retirement, and work/life benefits.
• Parental leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.
• Relocation assistance is available.

Salary range: 107,500 USD – 204,500 USD.

Hired applicants may be eligible for annual short‑term and/or long‑term incentive compensation programs depending on the level of the position and on whether or not it is covered by a collective‑bargaining agreement. Payments under these programs are not guaranteed and are dependent upon a variety of factors including individual performance, business unit performance, and/or company performance.

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.