AWS Director - Architect (Go, Python, Node.js, AI)

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management. We have an urgent W2 opening for a AWS Director - Architect with our client for a contracting role. Title- AWS Director - Architect (Go, Python, Node.js, AI) Location – Remote Contract / FTE Direct hire Experience: 15+ years, including 7+ years in an architecture-level role Tech Stack: Distributed Systems, AWS (incl. EKS), OpenShift, Automation (CI/CD & IaC), Go, Python, Node.js, AI-Assisted Software Development, and adjacent technologies (Kafka/event streaming, Terraform, service mesh, API gateways, and data platforms as engagements require) Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 15+ years in software engineering, including at least 7 years in an architecture-level role Deep expertise in distributed systems design and cloud-native architecture on AWS Strong hands-on background in Go, Python, and Node.js, with the ability to evaluate and guide adjacent languages and frameworks as needed Proven, hands-on experience architecting and operating container platforms on both AWS EKS and Red Hat OpenShift, including workload portability and platform selection trade-offs Proven experience designing automation-first platforms (infrastructure-as-code, CI/CD, orchestration) Strong working knowledge of adjacent technologies: Docker, Kafka or similar event-streaming platforms, service mesh, API gateways, and Terraform Experience leading architecture across multi-team, multi-region engagements, including onshore/offshore delivery models Excellent stakeholder management and client-facing communication skills Track record of mentoring engineering teams and setting technical direction at scale AI Knowledge & AI-Assisted Development (Required) Deep understanding of AI-assisted and agentic software development practices, with the ability to define organization- or program-wide standards, tooling choices, and governance for AI-assisted engineering Strong working knowledge of applied AI/LLM architecture patterns: LLM APIs, prompt engineering, RAG, vector stores/embeddings, agent frameworks, and Model Context Protocol (MCP), and how these integrate with distributed, cloud-native systems on AWS Able to evaluate build-vs-buy decisions for AI capabilities and architect AI-enabled features responsibly within compliance-sensitive environments, including data privacy and security guardrails for AI usage around PHI and other sensitive health plan data Experience shaping an organization's AI adoption strategy for the software development lifecycle: tooling selection, cost management, security review, and change management across onshore/offshore teams Able to advise clients and engineering leadership on where and how AI can responsibly accelerate delivery without compromising compliance or quality Preferred Qualifications Strong background in the US health insurance or payer domain: claims platforms, core administration systems, provider and member data, enrollment, benefits, and HIPAA Experience with healthcare interoperability standards (HL7, FHIR, X12 EDI) and payer core administration platforms AWS Certified Solutions Architect – Professional, or equivalent, is a plus Experience in a consulting or professional services environment serving health plan clients Interested candidates can share their resumes to