AI Platform Engineer (Hybrid)
- for any list. Could have two lists under Qualifications heading: one for Must Have, one for Preferred. That's okay.
- Skills: Could we extract skills from qualifications? Might be redundant. But we need to decide if we have specific skills content separate from qualifications. The qualifications include programming experience, cloud-native, observability, security concepts, etc. Those are skills. Could we create a Skills section summarizing those? However we must not invent or summarize away detail; we must preserve all substantive information. If we create a Skills section, we need to take content from somewhere else and not duplicate? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." It doesn't forbid reorganizing, but we must not lose detail. If we move content from Qualifications to Skills, we still preserve it. But we need to avoid duplication? Not explicitly forbidden, but better to avoid duplication. Could keep Qualifications as is and not have Skills section if no distinct skills beyond qualifications. However the instruction says "Prefer a few substantive sections over many thin ones." So we could omit Skills if not needed. But we need to decide if we have content for Skills separate. The qualifications already cover skills. So we can omit Skills section.
- Benefits: We have "What We Offer" paragraph and later benefits list. So we can include Benefits section.
- Pay: Salary range.
- Schedule: Hybrid work description.
Thus sections: About the role, Responsibilities, Requirements, Qualifications, Benefits, Pay, Schedule.
We must not include Skills if no distinct content.
Now we need to format.
Use
for section headings. Use
- for any list of duties/requirements/benefits.
Use
for prose. We must not include markdown code fences. We must output only HTML fragment. Let's craft. First, About the role: combine the introductory paragraphs before "What You Will Do". That includes: "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." We can put that in
. Now Responsibilities: "What You Will Do" list items. We'll extract each sentence as list item. List: - 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. Now Requirements: U.S. Person requirement and security clearance. We have: "Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62 Security Clearance Type: None/Not Required Security Clearance Status: Not Required" We need to preserve the link? Probably we can keep the URL as plain text. It's substantive. We'll include as maybe but not required. We'll just include the URL. We'll put in
maybe with list? It's prose. We'll include the U.S. Person requirement paragraph and the security clearance statements. Now Qualifications: Must Have and Preferred. We'll create two
- under Qualifications heading, maybe with a preceding
- for any list. Could have heading then
"Must Have:" then list, then
"Preferred:" then list. That's okay. List 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 list: - 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. Now Benefits: We have "What We Offer" paragraph and later benefits list. We can combine. Paragraph: "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." Then later: "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
indicating "Must Have:" and "Preferred:"? But we need to use
- for any list. Could have heading then
- for any list of duties/requirements/benefits.
Use