Senior Specialist Solutions Architect, Agentic AI & IBM i (AS/400) Modernization, AWS, AWS WWSO Mainframe

Amazon is hiring a Senior Specialist Solutions Architect, Agentic AI & IBM i (AS/400) Modernization, AWS, AWS WWSO Mainframe in Dallas, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Level.

AI in this role

Lead customer migrations combining cloud architecture and agentic AI tools to modernize legacy IBM i application estates.

aws

ai-agentsagentic-aiibm-ias400cloud-architecturecode-refactoring

Amazon Web Services (AWS) helps organizations of all sizes modernize critical applications, build secure cloud architectures, and use data and AI to create new business capabilities. Our customers range from startups to global enterprises and public-sector organizations across industries such as financial services, healthcare, manufacturing, retail, and telecommunications.

As a Senior Specialist Solutions Architect for Agentic AI and IBM i (AS/400) Modernization, you will help customers understand and transform complex IBM i application estates. You will build trusted relationships with senior business and technical leaders, assess modernization readiness, and define migration and transformation strategies that improve agility, resilience, and business value.

You will design secure, production-ready target architectures that combine cloud infrastructure, modern application and data services, and governed agentic AI. You will use AI-assisted modernization tools to analyze IBM i applications, extract business logic, generate or refactor code, automate testing, and validate functional equivalence with human oversight. You will help customers determine which functions should remain deterministic, which should become composable services, and which business processes can be reimagined through agentic workflows.

You will lead the specialist technical relationship, advising customers on security, cost, performance, reliability, operational readiness, and phased coexistence with existing systems. You will also represent the voice of the customer to AWS product and engineering organizations, collaborate with account teams, AWS Professional Services, and partners, and turn engagement insights into reusable modernization patterns and guidance.

Key job responsibilities
In this role, you will connect deep IBM i (AS/400) expertise with cloud and agentic AI technologies to create practical modernization solutions for customers. You will:

- Serve as a senior technical authority for IBM i modernization and build trusted relationships with customer executives, architects, and engineering teams.
- Lead discovery and architecture workshops to assess IBM i applications, dependencies, data, business rules, and operational requirements.
- Design secure cloud-native and agentic AI target architectures that separate deterministic business logic, composable services, and reasoning-based workflows.
- Use AI-assisted modernization tools to extract requirements and business logic, generate or refactor code, automate testing, and validate functional equivalence with human oversight.
- Advise customers on migration and modernization options, including phased coexistence, data integration, security, resilience, performance, cost, and operational readiness.
- Work with AWS product and engineering organizations to translate customer requirements into actionable feedback and validate new capabilities.
- Collaborate with Business Development, AWS Professional Services, account teams, and partners to guide customers from assessment through validated proof points and production readiness.
- Create and share reference architectures, technical guidance, code samples, white papers, blog posts, workshops, and other reusable field content.
- Educate customers, partners, and technical communities through workshops, user groups, conferences, online content, and public speaking.

This role is part of the AWS Worldwide Specialist Organization and works across sales, services, product, and partner organizations to accelerate successful customer modernization outcomes.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- 6+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience
- Experience or certifications in API design, cloud architecture/deployment, service-oriented architecture, mobile development, performance optimization, databases design and related fields
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions

Preferred qualifications

- Experience leveraging AI (Artificial Intelligence) agents for security review automation, spec-driven development practices, or adversarial red teaming
- Experience modernizing IBM i (AS/400) workloads on AWS or another cloud platform, including hybrid coexistence, data migration, integration, and production-readiness planning.
- Advanced knowledge of IBM i architecture, including ILE concepts, modules and service programs, physical and logical files, display and printer files, job processing, security, and runtime overrides.
- Experience using AI-assisted modernization tools for business-rule extraction, requirements generation, code transformation, automated testing, and functional validation.
- Experience creating reference architectures, technical guidance, demonstrations, workshops, or public technical content.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

How we rate this

Senior Specialist Solutions Architect, Agentic AI & IBM i (AS/400) Modernization, AWS, AWS WWSO Mainframe at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Specialist Solutions Architect, Agentic AI & IBM i (AS/400) Modernization, AWS, AWS WWSO Mainframe is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, TX, Dallas.
The job was posted on October 12, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAgentic AIIbm IAs400Cloud ArchitectureCode RefactoringAWS

Also common in solutions architect jobs at this level

Python Generative AI LLM Machine learning Azure Google Cloud

Pay

This job starts at: $154k
Typical solutions architect job: $168k

This posting starts 9% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where ibm i was part of your work. What did you do?
Tell me about a project where as400 was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Agentic AI, Ibm I, As400, and Cloud Architecture. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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