Lead Enterprise Architect Jobs
Lead Enterprise Architect jobs are open across financial services, healthcare, government, and technology, at levels from senior architect to distinguished fellow, with specializations in cloud transformation, integration architecture, and digital strategy. Find a role that fits below and apply directly.
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Showing 5 of 637+ Lead Enterprise Architect jobs
Caltech
Exempt Overtime Eligible: Exempt
Benefits Eligible: Benefit Based
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
The Enterprise AI Architect is responsible for designing, building, deploying, and operating enterprise-grade AI solutions that support the Institute's administrative, research, educational, and student service functions. This role serves as the Institute's senior technical expert in Generative AI, responsible for translating emerging AI capabilities into secure, scalable, and production-ready enterprise applications.
The successful candidate will bring deep expertise in large language models (LLMs), agentic architectures, retrieval-augmented generation (RAG), workflow orchestration and enterprise integrations, in addition to modern software engineering practices. This is a highly technical role focused on hands-on solution architecture, rapid prototyping, production engineering, and technical leadership across the AI technology stack.
This is an Organizational Critical position. In the event of an emergency on campus, an employee designated as organizational critical is expected to report to Campus as soon as possible to assist in division/department response and recovery efforts.
Essential Job Duties
AI Solution Architecture and Engineering
- Design, develop, and deploy enterprise-grade AI applications using large language models, agentic frameworks, orchestration platforms, vector databases, and modern cloud-native architectures.
- Lead the technical design of AI systems from prototype through production deployment, ensuring scalability, reliability, observability, and maintainability.
- Build proof-of-concepts that validate emerging AI capabilities and rapidly assess their applicability to enterprise business challenges.
- Define and implement AI architecture patterns, reusable frameworks, reference implementations, and development standards for enterprise adoption.
- Develop sophisticated agentic solutions that automate complex business workflows spanning multiple enterprise systems and data sources.
- Design and implement retrieval-augmented generation (RAG) architectures, vector indexing strategies, and knowledge-grounded AI solutions.
- Develop agent orchestration frameworks, Model Context Protocol (MCP), tool-calling architectures, and workflow automation platforms.
- Engineer prompt strategies, evaluation frameworks, guardrails, and testing methodologies to optimize model accuracy, reliability, and safety.
- Evaluate and integrate emerging AI technologies, foundation models, embeddings, and enterprise AI platforms into the Institute's technology ecosystem.
- Establish performance benchmarks and quality metrics for AI systems, agents, and workflows.
- Architect and implement secure integrations between AI applications and enterprise systems, including HR, Finance, Facilities, Student Affairs and Research Administration platforms.
- Design APIs, event-driven architectures, middleware services, and data pipelines that support enterprise-scale AI deployments.
- Develop secure data access patterns for AI workloads while ensuring compliance with institutional data governance requirements.
- Optimize enterprise AI systems for performance, cost efficiency, reliability, and operational supportability.
- Lead deployment automation, monitoring, troubleshooting, and lifecycle management of AI services in production environments.
- Demonstrate technical leadership on Enterprise AI architecture, engineering patterns, and solution design.
- Perform architecture reviews, code reviews, prompt reviews, and design reviews for AI-related initiatives.
- Mentor software engineers and solution architects in AI engineering practices and emerging technologies.
- Establish AI engineering standards, development frameworks, testing methodologies, and operational best practices for enterprise AI solutions.
- Provide technical recommendations regarding AI technology selection, architecture tradeoffs, and platform investments.
Basic Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Information Systems, or a related technical discipline, or equivalent practical experience.
- Extensive experience designing and delivering large-scale enterprise software solutions in complex environments.
- Demonstrated expertise building production Generative AI applications using large language models and agentic frameworks.
- Strong software engineering experience with modern programming languages such as Python, Java, C# or similar languages.
- Deep understanding of AI/ML frameworks, model deployment platforms, API design, cloud-native architectures, and distributed systems.
- Hands-on experience implementing Retrieval-Augmented Generation (RAG), vector databases and knowledge-grounded AI systems.
- Experience designing agent architectures, agent orchestration frameworks, and Model Context Protocol (MCP) based integrations.
- Demonstrated experience integrating AI solutions with enterprise ERP systems such as Oracle E-Business Suite and other enterprise platforms.
- Strong understanding of enterprise security architecture, identity management, data privacy, and data loss prevention controls.
- Proven ability to bring AI systems from concept and experimentation through production deployment and operational support.
- Experience deploying AI solutions on Microsoft Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable enterprise AI platforms.
Preferred Qualifications
- Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure-as-code, and modern platform engineering practices.
- Familiarity with higher education, research administration, healthcare, or similarly complex data-intensive environments.
Required Documents
- Resume.
To be considered for this position please visit our web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
je-9cf692f924cd4b9b853449a6760afaab
Caltech
Exempt Overtime Eligible: Exempt
Benefits Eligible: Benefit Based
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
The Enterprise AI Architect is responsible for designing, building, deploying, and operating enterprise-grade AI solutions that support the Institute's administrative, research, educational, and student service functions. This role serves as the Institute's senior technical expert in Generative AI, responsible for translating emerging AI capabilities into secure, scalable, and production-ready enterprise applications.
The successful candidate will bring deep expertise in large language models (LLMs), agentic architectures, retrieval-augmented generation (RAG), workflow orchestration and enterprise integrations, in addition to modern software engineering practices. This is a highly technical role focused on hands-on solution architecture, rapid prototyping, production engineering, and technical leadership across the AI technology stack.
This is an Organizational Critical position. In the event of an emergency on campus, an employee designated as organizational critical is expected to report to Campus as soon as possible to assist in division/department response and recovery efforts.
Essential Job Duties
AI Solution Architecture and Engineering
- Design, develop, and deploy enterprise-grade AI applications using large language models, agentic frameworks, orchestration platforms, vector databases, and modern cloud-native architectures.
- Lead the technical design of AI systems from prototype through production deployment, ensuring scalability, reliability, observability, and maintainability.
- Build proof-of-concepts that validate emerging AI capabilities and rapidly assess their applicability to enterprise business challenges.
- Define and implement AI architecture patterns, reusable frameworks, reference implementations, and development standards for enterprise adoption.
- Develop sophisticated agentic solutions that automate complex business workflows spanning multiple enterprise systems and data sources.
- Design and implement retrieval-augmented generation (RAG) architectures, vector indexing strategies, and knowledge-grounded AI solutions.
- Develop agent orchestration frameworks, Model Context Protocol (MCP), tool-calling architectures, and workflow automation platforms.
- Engineer prompt strategies, evaluation frameworks, guardrails, and testing methodologies to optimize model accuracy, reliability, and safety.
- Evaluate and integrate emerging AI technologies, foundation models, embeddings, and enterprise AI platforms into the Institute's technology ecosystem.
- Establish performance benchmarks and quality metrics for AI systems, agents, and workflows.
- Architect and implement secure integrations between AI applications and enterprise systems, including HR, Finance, Facilities, Student Affairs and Research Administration platforms.
- Design APIs, event-driven architectures, middleware services, and data pipelines that support enterprise-scale AI deployments.
- Develop secure data access patterns for AI workloads while ensuring compliance with institutional data governance requirements.
- Optimize enterprise AI systems for performance, cost efficiency, reliability, and operational supportability.
- Lead deployment automation, monitoring, troubleshooting, and lifecycle management of AI services in production environments.
- Demonstrate technical leadership on Enterprise AI architecture, engineering patterns, and solution design.
- Perform architecture reviews, code reviews, prompt reviews, and design reviews for AI-related initiatives.
- Mentor software engineers and solution architects in AI engineering practices and emerging technologies.
- Establish AI engineering standards, development frameworks, testing methodologies, and operational best practices for enterprise AI solutions.
- Provide technical recommendations regarding AI technology selection, architecture tradeoffs, and platform investments.
Basic Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Information Systems, or a related technical discipline, or equivalent practical experience.
- Extensive experience designing and delivering large-scale enterprise software solutions in complex environments.
- Demonstrated expertise building production Generative AI applications using large language models and agentic frameworks.
- Strong software engineering experience with modern programming languages such as Python, Java, C# or similar languages.
- Deep understanding of AI/ML frameworks, model deployment platforms, API design, cloud-native architectures, and distributed systems.
- Hands-on experience implementing Retrieval-Augmented Generation (RAG), vector databases and knowledge-grounded AI systems.
- Experience designing agent architectures, agent orchestration frameworks, and Model Context Protocol (MCP) based integrations.
- Demonstrated experience integrating AI solutions with enterprise ERP systems such as Oracle E-Business Suite and other enterprise platforms.
- Strong understanding of enterprise security architecture, identity management, data privacy, and data loss prevention controls.
- Proven ability to bring AI systems from concept and experimentation through production deployment and operational support.
- Experience deploying AI solutions on Microsoft Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable enterprise AI platforms.
Preferred Qualifications
- Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure-as-code, and modern platform engineering practices.
- Familiarity with higher education, research administration, healthcare, or similarly complex data-intensive environments.
Required Documents
- Resume.
To be considered for this position please visit our web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
je-9cf692f924cd4b9b853449a6760afaab
Lead Enterprise Architect Jobs by Experience Level
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Find JobsLead Enterprise Architect Job Market
Who's Hiring
- Transaction Network Services (TNS)39
- Molex23
- Booz Allen Hamilton14
- Humana8
- Infosys8
Top Industries Hiring
- Technology & Software64
- Telecommunications38
- Fintech21
- Manufacturing16
- Electronics & Hardware14
What Employers Look For
The qualifications that appear most often in lead enterprise architect jobs.
- Ten or more years of enterprise architecture experience across multiple domains
- TOGAF certification or equivalent architecture framework proficiency
- Deep experience with cloud platforms such as AWS, Azure, or Google Cloud
- Demonstrated ability to lead architecture governance and review boards
- Bachelor's or master's degree in computer science, information systems, or engineering
- Experience translating business strategy into multi-year technology roadmaps
Tips for Your Lead Enterprise Architect Job Search
Align your resume to business outcomes
Lead enterprise architects are hired to drive organizational change, not just design systems. Reframe every bullet around measurable business impact, such as reduced integration costs, faster time-to-market, or consolidated vendor portfolios, rather than listing frameworks you know.
Demonstrate cross-domain architecture authority
Job postings at this level expect coverage across application, data, infrastructure, and security domains. If your resume reads as infrastructure-only or application-only, hiring managers will stall. Add a brief architecture domains section showing breadth across all four.
Apply early to roles that fit
Migrate Mate lists lead enterprise architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your framework
Filter for openings that explicitly name TOGAF, Zachman, or SABSA rather than generic architecture roles. Postings that name a framework signal a mature practice with defined governance, which means faster onboarding, clearer scope, and less re-educating stakeholders about your role.
Prepare a reference architecture artifact
Many lead enterprise architect interviews include a whiteboard or take-home exercise. Bring a sanitized reference architecture from a past engagement, one that shows decision rationale and trade-offs, not just boxes and arrows. It answers competency questions before they are asked.
Negotiate scope before you negotiate compensation
At this level, decision-making authority matters as much as pay. Before accepting, clarify whether the role owns architecture governance or only advises it, which stakeholders you report to, and whether you have veto power on technology choices. Ambiguity here creates friction within the first quarter.
Lead Enterprise Architect Jobs: Frequently Asked Questions
Which companies are hiring the most lead enterprise architects?
Transaction Network Services (TNS), Molex, and Booz Allen Hamilton are hiring the most lead enterprise architects right now, with openings concentrated in Virginia, Texas, and California, based on current listings on Migrate Mate as of November 2026. Financial services, federal contractors, and large healthcare systems consistently post the highest volumes of roles at this level.
How many lead enterprise architect jobs are remote?
About 67% of lead enterprise architect openings are fully remote or hybrid as of November 2026, reflecting the documentation-heavy and advisory nature of the role. Cloud architecture and integration-focused positions are the most likely to be fully remote, while roles tied to federal agencies or heavily regulated industries typically require on-site or hybrid presence.
How do you become a lead enterprise architect?
Most lead enterprise architects start as software engineers or solutions architects, then move into enterprise architecture by taking on cross-domain projects that require business-stakeholder engagement. Getting TOGAF certified establishes a shared language with hiring managers. From there, leading an architecture review board or owning a technology roadmap initiative is what moves a candidate from individual contributor to lead. The jump to lead typically requires at least one cycle of full architecture lifecycle ownership.
Can you get a lead enterprise architect role without prior architecture titles?
Yes, candidates with deep solutions architecture or technical program management backgrounds do get hired, but you'll need to close the gap explicitly on your resume. Document any governance work, architecture decision records you authored, or roadmap planning you owned. Titles matter less than evidence that you shaped technology direction across an organization rather than within a single product or team.
What does the lead enterprise architect interview process look like?
Most processes run three to five rounds. An initial screening with a talent partner is followed by a technical interview focused on architecture principles and past decisions, then a business-alignment interview with a CTO or CIO where you are expected to connect technology strategy to business outcomes. Many employers close with a whiteboard exercise or a take-home scenario requiring you to design a reference architecture under constraints and defend your trade-offs to a panel.
Where can I find and apply to lead enterprise architect jobs?
You can find and apply to lead enterprise architect jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your domain expertise and experience level, then apply directly to each listing from the page.
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Find roles that match your experience and apply in just a few clicks.
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