GenOps Platform Engineer

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.

None/Not Required

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.

This position is part of the Enterprise Services – Data & AI organization within RTX Corporate, supporting the company’s mission to develop and scale AI capabilities responsibly and securely across the enterprise.

The Gen Ops Platform Engineer will design and implement the software and infrastructure that enable scalable and secure AI applications across RTX. The role focuses on developing APIs, orchestration services, and observability capabilities that connect AI models and intelligent systems with enterprise data and services.

Design, build, and maintain scalable, reliable APIs and orchestration services for AI and automation platforms.

Integrate cloud and on‑prem AI services (Azure AI, Databricks, AWS Bedrock, Anthropic).

Implement telemetry and observability using Open Telemetry and MLflow.

Containerize and deploy microservices with Docker and Kubernetes.

Partner with Infrastructure, Security, and Compliance to meet enterprise and regulatory standards.

Optimize AI platforms for performance, cost‑efficiency, reliability, and security through continuous improvement and modular IaC (Terraform/Cloud Formation).

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

Experience designing and scaling secure, cost‑efficient enterprise AI/ML infrastructure.

Strong Dev Ops/Dev Sec Ops  background, including CI/CD and Infrastructure as Code.

Hands‑on development of AI agents and Python-based APIs (e.g., FastAPI) for production use cases.

Experience with cloud AI/ML platforms (AWS/Azure), messaging systems (Kafka/Service Bus), and monitoring/observability tools.

Familiarity with regulated, large‑scale enterprise environments.

This is a hybrid role, eligible candidates must reside within commuting distance from Farmington, CT, additional locations will be considered MA, TX, IA, CA

Whether 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.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select 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 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…