Gen AI Software Engineer
Listed on 2026-03-01
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Date Posted:
Country: United States of America
Location: US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS
Position Role Type: Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type: None/Not Required
Security Clearance Status: Not Required
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
As part of Enterprise Services – Data & AI, the Gen AI Software Engineer develops and deploys generative AI applications and services that enhance decision-making, automate workflows, and scale across the enterprise. This hands‑on role focuses on building robust, secure, and reusable AI solutions while collaborating with platform and applied AI teams.
What You Will Do- Develop, deploy, and product ionize generative AI applications and agentic systems.
- Build CI/CD and automation pipelines to support AI workflows.
- Implement monitoring, observability, and governance for AI services using tools like Open Telemetry, MLflow, and Databricks.
- Integrate AI solutions with enterprise systems while ensuring reproducibility, security, and compliance.
- Collaborate with stakeholders to prototype and scale AI copilots, digital assistants, and multi‑agent workflows.
- Optimize AI pipelines for performance, cost‑efficiency, and scalability.
- Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience.
- Proficient in Python and SQL; experience with generative AI frameworks, LLMs, and cloud AI platforms.
- Hands‑on experience with containers, CI/CD, and production deployment of AI services.
- Familiarity with monitoring, observability, and governance in enterprise AI systems.
- Experience with policy‑as‑code, Responsible AI practices, and regulated environments (aerospace, defense, finance, healthcare).
- Knowledge of model versioning, auditability, and enterprise integration patterns.
This is a hybrid role, eligible candidates must reside within commuting distance from Farmington, CT. Additional locations will be considered: MA, TX, IA, CA.
What We OfferWhether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package 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 132,400 USD - 251,600 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…
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