AI Architect (Hybrid)
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting that are relevant to each section.
Let's extract content.
About the role: The paragraph starting "At RTX, the world's largest aerospace and defense company..." plus maybe the sentence "The following position is to join our RTX Enterprise Services team: We are seeking an experienced AI Architect..." That's about the role. Could combine.
Responsibilities: bullet list from "What You Will Do". Let's capture each sentence as bullet.
List:
- Define end-to-end architectures for enterprise AI and ML solutions spanning traditional machine learning, Generative AI, agentic AI, data, applications, APIs, platforms, infrastructure, and enterprise systems.
- Partner with business and technology leaders to translate business opportunities and requirements into architecture blueprints, technical strategies, success criteria, and implementation roadmaps.
- Determine the appropriate technical approach for complex business problems, including traditional software, machine learning, Generative AI, retrieval-augmented generation, agentic AI, or combinations of these approaches.
- Develop reusable reference architectures, design patterns, standards, and technical guardrails, and identify common requirements across RTX business units that can be addressed through reusable enterprise AI capabilities.
- Architect modern AI solutions including model selection and routing, retrieval and grounding, context engineering, agent orchestration, tool use, state and memory, human-in-the-loop workflows, evaluation, observability, and secure enterprise integration.
- Define architecture patterns for AI/ML data pipelines, model serving, model lifecycle management, MLOps, deployment, monitoring, and operation across cloud, hybrid, on-premises, and restricted environments.
- Evaluate technology and platform alternatives and lead build, buy, configure, and integrate decisions considering business value, scalability, interoperability, security, performance, cost, and operational complexity.
- Lead architecture and technical design reviews, partner with enterprise architecture, cybersecurity, data, identity, privacy, and Responsible AI teams, and provide technical leadership and mentorship across engineering teams.
Also "What You Will Learn" maybe could be considered responsibilities? It's more about learning. Could be part of About the role or maybe separate but we don't have a section for learning. Could include in About the role as prose.
Requirements: The U.S. Person requirement and maybe security clearance none. Also maybe "Position Role Type: Hybrid". But that's schedule. We'll treat U.S. Person as requirement. Also maybe "U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person." Also "Security Clearance Type: None/Not Required". Could include as requirement: "Security clearance: None/Not Required". Also maybe "U.S. Citizen, U.S. Person, or Immigration Status Requirements" is a requirement.
We should preserve all substantive information: So include that.
Qualifications: Combine "You Must Have" and "Qualifications We Prefer". We'll list as bullet list under Qualifications.
Let's extract You Must Have bullets:
- A University Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related STEM discipline and a minimum of 10 years of relevant professional experience, or an Advanced Degree in a related field and a minimum of 7 years of relevant professional experience.
- A minimum of 5 years of experience designing, developing, integrating, or architecting AI/ML solutions, including experience taking AI or ML capabilities beyond experimentation into production environments.
- Experience serving as a technical architect, solution architect, technical lead, or senior engineer for complex enterprise software, data, cloud, or AI/ML systems.
- Technical experience with AI/ML systems and modern AI application architectures, including Generative AI and large language models.
- Experience designing distributed systems, APIs, microservices, enterprise integrations, data pipelines, or cloud-native applications using at least one major public cloud platform.
- Experience translating business and technical requirements into architecture designs and evaluating technical, business, cost, security, and operational tradeoffs.
- Experience working with enterprise security concepts including identity and access management, authentication and authorization, data protection, application security, and secure system integration.
Qualifications We Prefer bullets:
- Experience architecting production Generative AI, retrieval-augmented generation, agentic AI, or multi-agent systems including modern AI architecture patterns including model selection and routing, embeddings, vector and enterprise search, context engineering, structured outputs, tool calling, orchestration, memory, state, and human-in-the-loop workflows.
- Experience with emerging agent technologies and interoperability approaches such as Model Context Protocol (MCP), agent identity, secure tool integration, or similar standards.
- Experience with AI evaluation, observability, tracing, guardrails, model monitoring, Responsible AI, model governance, or production AI reliability and with traditional machine learning lifecycle capabilities including data pipelines, feature engineering, model serving, model registries, monitoring, and MLOps.
- Experience designing AI architectures across multiple models, vendors, platforms, and cloud, hybrid, on-premises, or restricted environments.
- Experience with Kubernetes, containers, CI/CD, infrastructure-as-code, and modern application deployment architectures.
- Familiarity with relevant AI risk, cloud architecture, and enterprise architecture frameworks and principles, such as NIST AI RMF, cloud well-architected frameworks, TOGAF, Zachman, or similar disciplines, and experience applying them to enterprise technology decisions.
- Demonstrated ability to lead technical discussions, influence architecture decisions across multidisciplinary teams, and communicate complex technical concepts to technical and non-technical stakeholders.
We could combine both lists under Qualifications.
Benefits: From "What We Offer" and later benefits list.
Extract:
- 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.
- Learn More & Apply Now! (but that's application instruction, we should remove)
- 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: "Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement."
- 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 should preserve all substantive info. So we can list benefits as bullet list, but need to avoid too generic? We'll list the concrete items.
Pay: Salary range: 132,400 USD - 251,600 USD. Also note that it's a good faith estimate representative of all experience levels. Also mention factors considered. We'll include that as prose.
Schedule: Hybrid role description: "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." Also description of 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 interview steps may be in-person. Also "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."
We'll include schedule section with that info.
Now we need to output only HTML fragment, no markdown fences.
We'll structure:
About the role
... paragraphs ...
Responsibilities
- ...
...
Requirements
- U.S. Person required (U.S. citizen, U.S. national, U.S. permanent resident, or individuals granted refugee or asylee status in the U.S.)
- Security clearance: None/Not Required
Qualifications
- ...
...
Benefits
- ...
...
Pay
The salary range for this role is 132,400 USD - 251,600 USD (good faith estimate representative of all experience levels; offers consider role, function, responsibilities, work experience, location, education/training, and key skills).
Schedule
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. Employees work regularly both onsite and offsite, with onsite ratio determined in partnership with the leader. Interview steps may require in-person attendance at an office location.
We need to ensure we didn't miss any substantive info: The "What You Will Learn" paragraphs could be included in About the role as prose. Let's incorporate them.
About the role prose: Combine:
"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
for prose. We need to preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting that are relevant to each section. Let's extract content. About the role: The paragraph starting "At RTX, the world's largest aerospace and defense company..." plus maybe the sentence "The following position is to join our RTX Enterprise Services team: We are seeking an experienced AI Architect..." That's about the role. Could combine. Responsibilities: bullet list from "What You Will Do". Let's capture each sentence as bullet. List: - Define end-to-end architectures for enterprise AI and ML solutions spanning traditional machine learning, Generative AI, agentic AI, data, applications, APIs, platforms, infrastructure, and enterprise systems. - Partner with business and technology leaders to translate business opportunities and requirements into architecture blueprints, technical strategies, success criteria, and implementation roadmaps. - Determine the appropriate technical approach for complex business problems, including traditional software, machine learning, Generative AI, retrieval-augmented generation, agentic AI, or combinations of these approaches. - Develop reusable reference architectures, design patterns, standards, and technical guardrails, and identify common requirements across RTX business units that can be addressed through reusable enterprise AI capabilities. - Architect modern AI solutions including model selection and routing, retrieval and grounding, context engineering, agent orchestration, tool use, state and memory, human-in-the-loop workflows, evaluation, observability, and secure enterprise integration. - Define architecture patterns for AI/ML data pipelines, model serving, model lifecycle management, MLOps, deployment, monitoring, and operation across cloud, hybrid, on-premises, and restricted environments. - Evaluate technology and platform alternatives and lead build, buy, configure, and integrate decisions considering business value, scalability, interoperability, security, performance, cost, and operational complexity. - Lead architecture and technical design reviews, partner with enterprise architecture, cybersecurity, data, identity, privacy, and Responsible AI teams, and provide technical leadership and mentorship across engineering teams. Also "What You Will Learn" maybe could be considered responsibilities? It's more about learning. Could be part of About the role or maybe separate but we don't have a section for learning. Could include in About the role as prose. Requirements: The U.S. Person requirement and maybe security clearance none. Also maybe "Position Role Type: Hybrid". But that's schedule. We'll treat U.S. Person as requirement. Also maybe "U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person." Also "Security Clearance Type: None/Not Required". Could include as requirement: "Security clearance: None/Not Required". Also maybe "U.S. Citizen, U.S. Person, or Immigration Status Requirements" is a requirement. We should preserve all substantive information: So include that. Qualifications: Combine "You Must Have" and "Qualifications We Prefer". We'll list as bullet list under Qualifications. Let's extract You Must Have bullets: - A University Degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related STEM discipline and a minimum of 10 years of relevant professional experience, or an Advanced Degree in a related field and a minimum of 7 years of relevant professional experience. - A minimum of 5 years of experience designing, developing, integrating, or architecting AI/ML solutions, including experience taking AI or ML capabilities beyond experimentation into production environments. - Experience serving as a technical architect, solution architect, technical lead, or senior engineer for complex enterprise software, data, cloud, or AI/ML systems. - Technical experience with AI/ML systems and modern AI application architectures, including Generative AI and large language models. - Experience designing distributed systems, APIs, microservices, enterprise integrations, data pipelines, or cloud-native applications using at least one major public cloud platform. - Experience translating business and technical requirements into architecture designs and evaluating technical, business, cost, security, and operational tradeoffs. - Experience working with enterprise security concepts including identity and access management, authentication and authorization, data protection, application security, and secure system integration. Qualifications We Prefer bullets: - Experience architecting production Generative AI, retrieval-augmented generation, agentic AI, or multi-agent systems including modern AI architecture patterns including model selection and routing, embeddings, vector and enterprise search, context engineering, structured outputs, tool calling, orchestration, memory, state, and human-in-the-loop workflows. - Experience with emerging agent technologies and interoperability approaches such as Model Context Protocol (MCP), agent identity, secure tool integration, or similar standards. - Experience with AI evaluation, observability, tracing, guardrails, model monitoring, Responsible AI, model governance, or production AI reliability and with traditional machine learning lifecycle capabilities including data pipelines, feature engineering, model serving, model registries, monitoring, and MLOps. - Experience designing AI architectures across multiple models, vendors, platforms, and cloud, hybrid, on-premises, or restricted environments. - Experience with Kubernetes, containers, CI/CD, infrastructure-as-code, and modern application deployment architectures. - Familiarity with relevant AI risk, cloud architecture, and enterprise architecture frameworks and principles, such as NIST AI RMF, cloud well-architected frameworks, TOGAF, Zachman, or similar disciplines, and experience applying them to enterprise technology decisions. - Demonstrated ability to lead technical discussions, influence architecture decisions across multidisciplinary teams, and communicate complex technical concepts to technical and non-technical stakeholders. We could combine both lists under Qualifications. Benefits: From "What We Offer" and later benefits list. Extract: - 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. - Learn More & Apply Now! (but that's application instruction, we should remove) - 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: "Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement." - 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 should preserve all substantive info. So we can list benefits as bullet list, but need to avoid too generic? We'll list the concrete items. Pay: Salary range: 132,400 USD - 251,600 USD. Also note that it's a good faith estimate representative of all experience levels. Also mention factors considered. We'll include that as prose. Schedule: Hybrid role description: "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." Also description of 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 interview steps may be in-person. Also "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." We'll include schedule section with that info. Now we need to output only HTML fragment, no markdown fences. We'll structure:
About the role
... paragraphs ...
Responsibilities
- ... ...
Requirements
- U.S. Person required (U.S. citizen, U.S. national, U.S. permanent resident, or individuals granted refugee or asylee status in the U.S.)
- Security clearance: None/Not Required
Qualifications
- ... ...
Benefits
- ... ...
Pay
The salary range for this role is 132,400 USD - 251,600 USD (good faith estimate representative of all experience levels; offers consider role, function, responsibilities, work experience, location, education/training, and key skills).
Schedule
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. Employees work regularly both onsite and offsite, with onsite ratio determined in partnership with the leader. Interview steps may require in-person attendance at an office location.
We need to ensure we didn't miss any substantive info: The "What You Will Learn" paragraphs could be included in About the role as prose. Let's incorporate them. About the role prose: Combine: "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