AI Platform Engineer (Hybrid)
for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to decide what goes into each section.
About the role: prose summarizing RTX and the position. Could be two paragraphs.
Responsibilities: list of duties from "What You Will Do". Each bullet.
Requirements: includes U.S. Person requirement, security clearance none, maybe also work location? Actually work location is more schedule. We'll put U.S. Person requirement and security clearance as prose. Could also include "Work Location: This is a hybrid role..." but that is schedule. We'll keep schedule separate.
Qualifications: Must Have and Preferred. Could be two sublists? We'll just make a list combining both? Better to separate: maybe two
with headings? But we cannot add extra headings besides the section heading. We can include paragraphs describing must have and preferred. Could use for prose and
for lists. We'll do: Must Have:
then ... then Preferred:
then ...
Skills: Not needed.
Benefits: list from "What We Offer" and later benefits list. We'll combine into a .
Pay: with salary range.
Schedule:
describing hybrid ratio.
We must not include filler like "commensurate with experience". Not present.
Let's extract exact text.
About the role: From "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'll put that as
maybe split into two paragraphs but okay.
Responsibilities: The bullet list under "What You Will Do". Let's capture each line:
- 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.
We'll put each as
- .
Requirements: The U.S. Person requirement paragraph: "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'll condense into prose: maybe two paragraphs: one about US Person requirement, one about security clearance none.
We should not include the link? The instruction says preserve ALL substantive information; do not invent or summarize away detail. The link is substantive? It's a reference. Probably we should keep it as part of the requirement. Could include as but we are only allowed to output HTML fragment; we can include . It's okay. We'll include the URL as plain text or link. Probably keep as plain text.
We'll put:
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
Then Security Clearance Type: None/Not Required. Security Clearance Status: Not Required
Qualifications: Must Have list:
- 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.
We'll output as two with preceding Must Have:
etc.
Benefits: From "What We Offer 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 spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays." Also "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."
We'll combine into a list. Might be long but okay.
We'll produce - items for each distinct benefit.
Let's extract distinct benefits:
- parental (including paternal) leave
- flexible work schedules
- achievement awards
- educational assistance
- child/adult backup care
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- employee assistance program
- Employee Scholar Program
- paid time off
- holidays
- annual short-term incentive compensation programs
- annual long
for prose. We need to decide what goes into each section. About the role: prose summarizing RTX and the position. Could be two paragraphs. Responsibilities: list of duties from "What You Will Do". Each bullet. Requirements: includes U.S. Person requirement, security clearance none, maybe also work location? Actually work location is more schedule. We'll put U.S. Person requirement and security clearance as prose. Could also include "Work Location: This is a hybrid role..." but that is schedule. We'll keep schedule separate. Qualifications: Must Have and Preferred. Could be two sublists? We'll just make a list combining both? Better to separate: maybe two
- with headings? But we cannot add extra headings besides the section heading. We can include paragraphs describing must have and preferred. Could use
- .
Requirements: The U.S. Person requirement paragraph: "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'll condense into prose: maybe two paragraphs: one about US Person requirement, one about security clearance none.
We should not include the link? The instruction says preserve ALL substantive information; do not invent or summarize away detail. The link is substantive? It's a reference. Probably we should keep it as part of the requirement. Could include as but we are only allowed to output HTML fragment; we can include . It's okay. We'll include the URL as plain text or link. Probably keep as plain text.
We'll put:
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
ThenSecurity Clearance Type: None/Not Required. Security Clearance Status: Not Required
Qualifications: Must Have list: - 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. We'll output as two- with preceding
- items for each distinct benefit. Let's extract distinct benefits: - parental (including paternal) leave - flexible work schedules - achievement awards - educational assistance - child/adult backup care - medical - dental - vision - life insurance - short-term disability - long-term disability - 401(k) match - flexible spending accounts - employee assistance program - Employee Scholar Program - paid time off - holidays - annual short-term incentive compensation programs - annual long
Must Have:
etc. Benefits: From "What We Offer 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 spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays." Also "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." We'll combine into a list. Might be long but okay. We'll produce
for prose and
- for lists. We'll do:
Must Have:
then- ... then
Preferred:
then- ...
Skills: Not needed.
Benefits: list from "What We Offer" and later benefits list. We'll combine into a
- .
Pay:
with salary range. Schedule:
describing hybrid ratio. We must not include filler like "commensurate with experience". Not present. Let's extract exact text. About the role: From "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'll put that as
maybe split into two paragraphs but okay. Responsibilities: The bullet list under "What You Will Do". Let's capture each line: - 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. We'll put each as