AI Platform Engineer (Hybrid)
RTX Corporation1 day ago
Charlotte, NC, USA or San Jose, CA, USAMid Level / Senior
Base Salary
$108k - $205k/yr
Responsibilities
- Design, develop, and operate scalable backend services, APIs, and distributed platform capabilities for enterprise AI applications, models, and agents.
- Build AI platform capabilities including model access and routing, AI gateways, agent runtimes, lifecycle management, tool integration, model serving, retrieval services, and enterprise AI services.
- Develop identity, authentication, authorization, secrets management, tool-access, permissions, and enterprise-system integration capabilities.
- Automate deployment across development, test, and production environments using cloud-native technologies, containers, Kubernetes, CI/CD, and infrastructure-as-code.
- Build observability capabilities covering logging, metrics, tracing, monitoring, alerting, execution telemetry, and cost visibility.
- Support AI evaluation, model lifecycle management, MLOps, configuration, versioning, scalability, resilience, security, and production operations across cloud, hybrid, on-premises, and restricted environments.
- Collaborate with architecture, applied AI, application engineering, cybersecurity, data, and product teams to create reusable platform capabilities and improve developer experience.
Requirements
- A university degree in Computer Science, Software Engineering, Engineering, or a related STEM discipline and at least 8 years of relevant professional experience, or an advanced degree in a related field and at least 5 years of relevant professional experience.
- At least 5 years of hands-on software engineering experience developing backend services, APIs, distributed systems, cloud platforms, or similar production software.
- Programming experience with Python, Java, C#, or another modern backend programming language and demonstrated ability to build tested, maintainable production software.
- Experience designing and building APIs, microservices, distributed services, event-driven systems, or other backend platform capabilities.
- Experience with Docker, Kubernetes, CI/CD, infrastructure-as-code, and deployment on at least one major public cloud platform.
- Production observability and operations experience including logging, metrics, tracing, monitoring, alerting, troubleshooting, and reliability.
- Experience with authentication, authorization, identity and access management, secrets management, network security, and secure application integration.
- Preferred qualifications include experience with AI/ML platforms, developer or internal platforms, AI gateways, model serving, inference platforms, model routing, agent runtimes, orchestration, model lifecycle capabilities, vector databases, enterprise search, retrieval platforms, feature stores, model registries, MLOps, and AI evaluation infrastructure.
- Preferred qualifications include experience with agent registration, tool execution, Model Context Protocol, agent identity, permissions, state, lifecycle management, agent observability, highly available Kubernetes platforms, resilience, scalability, disaster recovery, hybrid or restricted environments, AI security, Responsible AI, cloud architecture, cost management, FinOps, or enterprise governance.
- Ability to independently solve complex technical problems, collaborate across engineering disciplines, and influence technical decisions in large-scale software or platform initiatives.
- U.S. Person status is required.
Benefits
- The role is hybrid, with regular onsite and offsite work, and candidates must live within commuting distance of Farmington, CT; El Segundo, CA; San Jose, CA; Tucson, AZ; McKinney, TX; Andover, MA; Cedar Rapids, IA; or Charlotte, NC.
- Benefits may include medical, dental, vision, life insurance, disability coverage, 401(k) matching, flexible spending accounts, paid time off, holidays, flexible work schedules, parental leave, educational assistance, employee assistance, backup care, and employee recognition programs.
- Eligible employees may receive annual short-term or long-term incentive compensation, subject to position, agreement coverage, and performance factors.
- Candidates may be asked to attend selected interview steps in person.
Tech Stack
Categories
About RTX Corporation
RTX Corporation builds aerospace and defense systems through its Collins Aerospace, Pratt & Whitney, and Raytheon businesses, serving commercial aviation, the U.S. government, and allied militaries. Its products range from aircraft engines and avionics to radars, missiles, and command-and-control software, sold via long-term OEM programs and defense contracts. Formed in 2020 by the Raytheon–United Technologies merger, RTX is headquartered in Arlington, Virginia and trades on the NYSE as RTX.