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

About the role

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.

Responsibilities

• 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