MLOps Engineer

Date Posted:

Country: United States of America

Location: UT68:
Corporate 1 Farm Springs Road, Farmington, CT, 06034 USA

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: None/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 MLOps Engineer designs and implements automation, observability, and lifecycle management pipelines for AI and machine learning applications. This role ensures that models and AI services operate reliably, securely, and cost-effectively across RTX environments.

• Build and maintain CI/CD pipelines for AI model deployment and lifecycle management.
• Automate monitoring and telemetry for AI services using Open Telemetry, MLflow, and Databricks.
• Productionize proof-of-concept (POC) code and integrate it into production systems.
• Implement access controls, cost tracking, and policy-as-code checks for production AI workloads.
• Develop dashboards and automated alerts to monitor system health, latency, and model performance.
• Collaborate with Platform and Applied AI Engineers to build reliable, high-performance production services and embed observability and governance into production pipelines.
• Ensure reproducibility, observability, and compliance of AI workflows across environments.
• Design and build scalable production pipelines that are highly performant, cost-efficient, and production-ready, ensuring seamless integration with existing systems and workflows.
• Continuously optimize infrastructure and workflows to support scaling of AI applications in dynamic enterprise settings.

• 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
• Python & SQL for data and automation; ML lifecycle tools
• Dev Ops, observability, and AI monitoring
• Containers, cloud infrastructure, and production pipelines

• Experience with policy-as-code or governance automation frameworks (Open Policy Agent or equivalent).
• Background in regulated environments (aerospace, defense, finance, or healthcare).
• Understanding of Responsible AI practices, model versioning, and auditability.

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 124,000 USD - 250,000 USD. The salary range provided…