Senior Solutions Architect, GovTech ISVs

About the role

The Senior Solutions Architect will work directly with the leadership and engineering teams of Independent Software Vendors (ISVs) whose software powers various aspects of state and local government operations, including 911 dispatch, digital evidence, court case management, permitting and licensing, and benefits eligibility.

Responsibilities

• Own the technical engagement and outcomes for a portfolio of GovTech ISV accounts, from discovery through production scale.
• Lead technical deep-dives, whiteboarding sessions, and executive briefings.
• Guide foundational architecture decisions across compute, storage, networking, identity, and databases, helping customers choose between EC2, EKS, ECS, and Lambda, and across RDS, Aurora, DynamoDB, and analytics services for the workload at hand.
• Lead architecture and design conversations on generative AI applications built on Amazon Bedrock, including agentic patterns, retrieval, evaluations, and guardrails appropriate for public-sector workloads.
• Partner with customers on the security, data-governance, and architectural decisions that shape how their products serve state and local government and public safety buyers.
• Help customers modernize core platforms onto AWS using containers, serverless, and managed data services so their AI roadmap has a foundation to stand on, and help them tune those platforms for performance, reliability, and cost as they scale.
• Stay current with the AWS service roadmap and the GovTech market, and translate both into concrete recommendations for your customers.

Qualifications

• 8+ years of design, implementation, or consulting in applications and infrastructures experience.
• 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or AWS Professional level certification.
• Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation.
• Experience contributing to engineering discussions around technology decisions and strategy related to a product.
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage.
• Experience with designing and building applications using container and serverless technologies.