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Overview: In this role you will help GovTech ISVs transform public service software on AWS with generative AI and agentic patterns. You will manage technical relationships, steer architecture and security decisions, and translate AI prototypes into production systems suited for regulated environments. You’ll design durable data architectures, evaluate compute and storage options, and ensure scalable, cost-efficient deployments. You’ll work closely with leadership and engineering teams to align technology choices with public-sector goals and compliance. This is a hands-on, impact-driven opportunity to shape AI-powered public services at scale. Compensation / Benefits base salary plus sign-on and RSUs comprehensive health insurance 401(k) matching paid time off and parental leave EAP and mental health support flexible work culture
Responsibilities: Own the technical engagement and outcomes for a portfolio of GovTech ISV accounts from discovery to production scale Lead technical deep-dives, whiteboarding sessions, and executive briefings Guide foundational architecture decisions across compute, storage, networking, identity, and databases, selecting among EC2, EKS, ECS, and Lambda, and RDS, Aurora, DynamoDB, and analytics services Lead architecture and design conversations on generative AI applications built on Amazon Bedrock, including agentic patterns, retrieval, evaluations, and guardrails for public-sector workloads Partner with customers on security, data governance, and architectural decisions for state and local government and public safety buyers Help modernization of core platforms onto AWS using containers, serverless, and managed data services, tuning for performance, reliability, and cost Stay current with AWS service roadmap and GovTech market to translate into concrete customer recommendations
Key requirements: 8+ years in design, implementation, or consulting for applications and infrastructures 5+ years of cloud-based solution, system, network and OS experience, or AWS Professional certifications Experience facilitating discussions with senior leadership on architectural trade-offs, best practices, and risk mitigation Experience contributing to engineering discussions on technology decisions and product strategy Experience with Data & AI technologies including AI/ML, GenAI, Analytics, Database, and/or Storage Experience designing and building applications using container and serverless technologies Preferred: experience with enterprise software and AI-assisted development tools executive presence clear communication collaboration AWS compute: EC2, EKS, ECS, Lambda AWS storage and databases: RDS, Aurora, DynamoDB, analytics services Generative AI on Amazon Bedrock

Also on the board Same function, level within a rung

Level

Lead

Location

Austin, TX

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

today

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