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Architects and deploys secure, scalable AWS cloud, data, and generative AI solutions for enterprise clients. Leads cloud migrations, legacy modernization, Infrastructure as Code, CI/CD, serverless and containerized implementations, and GenAI workloads using Bedrock and SageMaker. Acts as a client-facing technical leader, presents to executives, builds proofs of concept, identifies cloud expansion opportunities, and mentors engineers while developing reusable delivery accelerators and best practices.

Designs and implements secure, scalable AWS cloud architectures, modernizes legacy applications, and deploys generative AI and machine learning solutions using Bedrock, SageMaker, and vector databases. Leads enterprise client engagements, migrations, proofs of concept, and executive technical alignment while identifying cloud adoption opportunities. Provides mentorship, develops reusable infrastructure modules, and promotes AWS Well-Architected delivery practices.

Build responsive React and TypeScript frontends, secure Node.js microservices, REST APIs, AWS cloud-native applications, and search/data workflows using OpenSearch, Kendra, SQL, and NoSQL databases. Collaborate with product, design, data, and client stakeholders in an agile consulting environment while contributing to architecture, CI/CD, testing, and feature delivery.

Lead pre-sales technical discovery and serve as the architectural authority for enterprise AWS solutions. Design GenAI, data platform, and cloud migration architectures using services such as Bedrock, SageMaker, RDS, Aurora, and DynamoDB. Develop AWS cost models, SOWs, proposals, migration strategies, and technical handoffs while partnering with account executives, AWS teams, engineering, and delivery stakeholders.

Architects and manages enterprise cloud and AI infrastructure, builds Terraform-based IaC and secure CI/CD pipelines, operates containerized and serverless workloads, and implements observability, security, and cost optimization. The role also leads client discovery workshops, demos solutions, gathers requirements, and develops cloud adoption strategies in a remote consulting environment.

Leads hands-on software engineering across delivery teams by establishing architectural and coding standards, contributing production code, conducting reviews, building reusable accelerators, and driving AI adoption. Develops ReactJS, NodeJS, and AWS cloud-native solutions; mentors senior engineers; creates technical training; audits project compliance; and collaborates with product, DevOps, and QA stakeholders.

Design and abstract reusable game graphics, UI systems, gameplay mechanics, and visual templates into scalable frameworks. Establish UI/UX standards, gameplay loops, visual feedback, reward structures, and asset specifications. Partner with engineering and art teams on content pipeline tooling, conduct visual and usability reviews, support client configuration, and document technical design standards. Requires autonomous execution and deep expertise in modular game design systems, visual communication, and asset workflows.

Lead AWS migration engagements from discovery through stabilization, coordinating technical delivery, architecture, risk mitigation, client communications, and cross-functional teams. Own scope, timelines, escalations, delivery governance, resource assignments, and quality standards. Partner with Sales and Solutions Architecture on QBRs and expansion opportunities while ensuring migration strategies, backlogs, dependencies, and rollback plans are executed effectively.

Own end-to-end product delivery for enterprise clients, from discovery and roadmap definition through launch. Lead cross-functional engineering, architecture, and design teams; create PRDs, user stories, prioritized backlogs, and success metrics; facilitate workshops and demos; manage delivery in Azure DevOps; and guide clients through technical tradeoffs, scope, and risks. Use generative AI and rapid-prototyping tools to accelerate product development while supporting account growth and executive relationships.

Design, build, and deploy production-grade data pipelines, analytics platforms, and Generative AI applications on Databricks. Lead enterprise migrations from legacy data platforms, architect cloud-native solutions, implement RAG and ML pipelines, and advise executive client stakeholders. Drive Databricks adoption and account growth by identifying new use cases, while mentoring engineers and contributing reusable delivery accelerators.