Principal AI ML Software Developer (Onsite)
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Software engineering?, 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, * 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
Benefits & conditions
1717 East CityLine Drive, Richardson, TX $107,500 - $204,500 a year - Full-time, Pulled from the full job description
- Tuition reimbursement
- Parental leave
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, * 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., 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.