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AI Platform Engineer (Hybrid)

RTX · McKinney, TX · 1 mo ago
HybridEngineeringFull-time
We need to output HTML fragment with sections: About the role (maybe description), Responsibilities, Requirements, Qualifications, Skills?, Benefits, Pay, Schedule. Must only include sections that have real specific content. Must not repeat job title. Must not include boilerplate like EEO, cookie, navigation, legal, etc. Must not include duplicated lines. Must preserve all substantive info. We need to parse the posting. Key sections: - About the role: The paragraph after "At RTX, the world's largest aerospace..." up to "Join us and help shape the future of aerospace and defense." Also "The following position is to join our RTX Enterprise Services team: We are seeking an experienced AI Platform Engineer..." That's description. - Responsibilities: The bullet list under "What You Will Do". Should be
  • . - Qualifications: There's "Qualifications You Must Have" and "Qualifications We Prefer". Could combine into Requirements? The instruction: Use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which headings to use. Likely "Requirements" for mandatory qualifications, "Qualifications" for preferred? Or we could combine both under "Qualifications". But we have both headings allowed. We'll include "Requirements" for mandatory, "Qualifications" for preferred. Also "Skills" maybe not needed if covered. - Benefits: The paragraph under "What We Offer" describing benefits. Also later details about benefits. Should include. - Pay: The salary range: "The salary range for this role is 107,500 USD - 204,500 USD." - Schedule: Hybrid role description: "Work Location: This is a hybrid role, eligible candidates must reside within commuting distance of ..." Also classification: Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Also mention in-person interview steps. That's schedule info. We must not include boilerplate like EEO, privacy policy, etc. Also must not include duplicated lines. We must preserve all substantive info: include details about U.S. Person requirement, security clearance none, location list, etc. Should we include that under Requirements? Possibly under Requirements heading we can include citizenship requirement, security clearance, location, etc. But the instruction says use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can put citizenship and security clearance under Requirements. We also need to include the location list and hybrid details maybe under Schedule? But location is more about work location; could be under Schedule or maybe under Requirements? The schedule heading is for schedule details; location could be under Schedule as it's about work location/hybrid. We'll include location list under Schedule. We must not include "Date Posted", "Country", "Location: US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS Position Role Type: Hybrid" etc as separate headings; we can incorporate location info into Schedule paragraph. We must not include "U.S. Citizen, U.S. Person, or Immigration Status Requirements:" as heading; we can embed that in Requirements paragraph. We must not include "Security Clearance Type: None/Not Required" etc; embed. We must not include "Work Location: This is a hybrid role, eligible candidates must reside within commuting distance of Farmington, CT, El Segundo, CA, San Jose, CA, Tucson, AZ, McKinney, TX, Andover, MA, Cedar Rapids, IA, or Charlotte, NC." We'll embed. We must not include "Please ensure the role type defined below is appropriate for your needs before applying to this role." That's boilerplate/application instruction; remove. We must not include "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." That's maybe schedule? It's about interview process; could be considered schedule? Might be considered boilerplate? It's not exactly schedule but it's about interview; maybe we can keep as part of Schedule? It's not strictly schedule but it's about in-person steps. Might be considered part of schedule/hybrid. I'd keep it as part of Schedule description. We must not include "The salary range provided is a good faith estimate representative of all experience levels." That's part of Pay; we can keep. We must not include "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." That's benefits; keep. We must not include "Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement." Keep as part of benefits. We must not include "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." Keep as part of Benefits or Pay? It's about incentive compensation; could be under Benefits. We must not include "This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply." Keep maybe under Pay or Benefits. We must not include "RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window." That's application instruction; remove. We must not include EEO statements; remove. We must not include Privacy Policy and Terms; remove. Now craft HTML. Structure:

    About the role

    At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense. The following position is to join our RTX Enterprise Services team: We are seeking an experienced AI Platform Engineer to design, build, and operate the reusable software, services, infrastructure, and runtime capabilities that enable Artificial Intelligence and Machine Learning solutions to be developed, deployed, secured, observed, and scaled across RTX. The ideal candidate combines strong backend software engineering with cloud, DevOps, and AI platform experience. This is a hands-on engineering role focused on building production platform capabilities, not simply deploying infrastructure. You will work closely with AI Architects, Applied AI Engineers, application teams, cybersecurity, data, and enterprise technology organizations to provide secure and reusable capabilities that accelerate AI adoption across RTX.

    Responsibilities

    • Design, develop, and operate scalable backend services, APIs, and distributed platform capabilities that support enterprise AI applications, models, and agents.
    • Build and integrate AI platform capabilities including model access and routing, AI gateways, agent runtimes, lifecycle management, tool integration, model serving, retrieval services, and related enterprise AI services.
    • Develop secure capabilities for agent and application identity, authentication and authorization, secrets management, tool access, permissions, and integration with enterprise systems.
    • Design and automate deployment across development, test, and production environments using cloud-native technologies, containers, Kubernetes, CI/CD, and infrastructure-as-code.
    • Build observability capabilities including logging, metrics, tracing, monitoring, alerting, execution telemetry, and cost visibility for AI applications and agentic workloads.
    • Develop platform capabilities supporting AI evaluation, model lifecycle management, MLOps, configuration, versioning, and production operations.
    • Design platform services for scalability, availability, resilience, performance, security, and support across commercial cloud, hybrid, on-premises, and restricted environments.
    • Partner with AI Architecture, Applied AI, Application Engineering, Cybersecurity, Data, and product teams to translate solution needs into reusable enterprise platform capabilities and continuously improve the developer experience.

    Requirements

    This job requires a U.S. Person (U.S. citizen, U.S. national, U.S. permanent resident, or individual granted refugee or asylee status in the U.S.). No security clearance is required. Candidates must reside within commuting distance of one of the following locations: Farmington, CT; El Segundo, CA; San Jose, CA; Tucson, AZ; McKinney, TX; Andover, MA; Cedar Rapids, IA; Charlotte, NC. The role is hybrid, with regular onsite and offsite work; the exact onsite ratio will be determined with your leader. As part of the hiring process, candidates may be asked to attend select interview steps in-person at an RTX office location.

    Qualifications

    Must have:

    • A University Degree in Computer Science, Software Engineering, Engineering, or a related STEM discipline and a minimum of 8 years of relevant professional experience, or an Advanced Degree in a related field and a minimum of 5 years of relevant professional experience.
    • A minimum of 5 years of hands-on software engineering experience developing backend services, APIs, distributed systems, cloud platforms, or similar production software.
    • Programming experience using Python, Java, C#, or another modern backend programming language, with demonstrated experience developing tested and maintainable production software.
    • Experience designing and building APIs, microservices, distributed services, event-driven systems, or other backend platform capabilities.
    • Experience with cloud-native engineering including Docker, Kubernetes, CI/CD, and infrastructure-as-code, and experience deploying applications or services using at least one major public cloud platform.
    • Experience with production observability and operations, including logging, metrics, tracing, monitoring, alerting, troubleshooting, and reliability.
    • Experience working with enterprise security concepts including authentication and authorization, identity and access management, secrets management, network security, and secure application integration.

    Preferred:

    • Experience building AI/ML platforms, developer platforms, internal platforms, or shared enterprise software services including experience with AI gateways, model serving, inference platforms, model routing, agent runtimes, orchestration platforms, or model lifecycle capabilities.
    • Experience with agentic AI platform concepts including agent registration, tool execution, Model Context Protocol (MCP), agent identity, permissions, state, lifecycle management, or agent observability.
    • Experience with vector databases, enterprise search, retrieval platforms, knowledge services, feature stores, model registries, or other AI/ML infrastructure and MLOps, model deployment, model versioning, production monitoring, AI evaluation infrastructure, or model lifecycle automation.
    • Experience operating highly available Kubernetes or distributed application platforms and implementing resilience, scalability, and disaster-recovery patterns.
    • Experience supporting AI or enterprise applications across hybrid cloud, on-premises, restricted, or highly regulated environments and familiarity with AI security, Responsible AI, cloud architecture principles, cost management, FinOps, or enterprise governance requirements.
    • Demonstrated ability to independently solve complex technical problems, collaborate across engineering disciplines, and influence technical decisions within large-scale software or platform initiatives.

    Benefits

    RTX offers a robust total rewards package with compensation; healthcare, wellness,

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