Data and AI Platform Engineer, Solution Architect

RTX • Farmington, CT

19h • Hybrid

About The Position

RTX 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 195,000 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, Virginia.
What You Will Do: Design and implement ML and Agentic architectures across a wide range of business domains. Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, efficiency, and scalability. Establish and enforce best practices for agentic systems, including protocol adoption, agent / tool strategies, reasoning orchestration and basic functions such as context management and memory capabilities Work closely with data scientists, ML engineers, software developers, and business stakeholders to translate AI models into operational value. Maintain and continuously improve the operational model of the platform, including working with the Operations team to provide best-in-class monitoring, logging, alerting, incident management, and disaster recovery procedures. Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, robustness, efficiency, security and scalability. Partner with the enterprise architecture and data and AI governance teams to align the platform capabilities and controls to internal and external Legal, Cyber and Governance requirements. Partner with teams implementing “embedded” [COTS] agents to integrate into the platform.

Requirements

• Typically requires a University Degree or equivalent experience and minimum 12 years prior relevant experience, or an Advanced Degree in a related field and minimum 10 years experience
• 10+ years of experience in architecture, systems engineering, software, or related area with demonstrated technical skills in the above areas
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

• Advanced degree in STEM
• Experience in Aerospace and Defense or other regulated industries
• Experience with Gov or Classified Environments
• Experience with ABAC policy management (Immuta, Privacera)
• Experience with analytics, machine learning and use-of-data patterns
• Demonstrated ability to convert technology to business value
• Ability to solve complex problems
• Excellent communication skills
• Experience specifically in designing, deploying, and operating AI/ML platforms or complex distributed systems
• Familiarity with Scaled Agile Product Management and DevOps frameworks

Responsibilities

• Design and implement ML and Agentic architectures across a wide range of business domains.
• Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, efficiency, and scalability.
• Establish and enforce best practices for agentic systems, including protocol adoption, agent / tool strategies, reasoning orchestration and basic functions such as context management and memory capabilities
• Work closely with data scientists, ML engineers, software developers, and business stakeholders to translate AI models into operational value.
• Maintain and continuously improve the operational model of the platform, including working with the Operations team to provide best-in-class monitoring, logging, alerting, incident management, and disaster recovery procedures.
• Continuously evaluate and integrate emerging technologies and tools to enhance platform capabilities, robustness, efficiency, security and scalability.
• Partner with the enterprise architecture and data and AI governance teams to align the platform capabilities and controls to internal and external Legal, Cyber and Governance requirements.
• Partner with teams implementing “embedded” [COTS] agents to integrate into the platform.

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