MLOps Engineer

RTX • Farmington, CT

2d • Hybrid

About The Position

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.

Requirements

• 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
• DevOps, observability, and AI monitoring
• Containers, cloud infrastructure, and production pipelines

Nice To Haves

• 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.

Responsibilities

• Build and maintain CI/CD pipelines for AI model deployment and lifecycle management.
• Automate monitoring and telemetry for AI services using OpenTelemetry, 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.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees