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Designs, deploys, and governs production-grade agentic AI systems at enterprise scale. Responsibilities include multi-agent orchestration, RAG standards, multi-LLM integrations, LLMOps, evaluation and observability frameworks, safety and cost controls, and client architecture leadership. The role also develops reusable engineering accelerators, presents AI impact to senior stakeholders, and manages and develops engineering teams.

Designs and delivers production-grade full-stack AI applications on GCP. Responsibilities include frontend and backend development, APIs, microservices, databases, cloud infrastructure, Vertex AI and Gemini integration, RAG, conversational AI, intelligent search, security, CI/CD, observability, performance optimization, and production support. The role also provides technical guidance, conducts reviews, mentors engineers, and collaborates with architects, AI, data, UX, DevOps, security, and product teams.

Leads the design, development, and delivery of scalable backend services using Node.js and TypeScript. Responsibilities include architecture, API and microservices development, code reviews, technical leadership, mentoring, production troubleshooting, performance and security improvements, CI/CD and observability practices, stakeholder collaboration, estimation, release management, and evaluating emerging technologies.

Provides expert application support by identifying, troubleshooting, and resolving incidents across critical business systems. Monitors system performance, performs root-cause analysis, coordinates with cross-functional teams, improves incident response processes, and supports system reliability. The role also involves making team decisions, advising stakeholders, solving cross-team problems, and mentoring junior staff.

Designs and delivers digital workplace transformations, including endpoint management, identity, collaboration platforms, digital employee experience, and generative AI adoption. Responsibilities span strategy, roadmap development, architecture, requirements definition, implementation, operational improvement, and organizational adoption. The role supports large-scale global transformation programs and standardizes AI-driven development and delivery methods while coordinating with executives, customers, and diverse stakeholders.

Designs and delivers production-grade full-stack AI applications on GCP. Responsibilities include frontend and backend development, cloud-native architecture, REST APIs, microservices, databases, Vertex AI and Gemini integration, RAG pipelines, intelligent search, conversational AI, security, CI/CD, observability, testing, performance optimization, and production support. The role collaborates with architects, AI and data engineers, UX, DevOps, security, and product teams while providing technical guidance and mentoring.

Develop and enhance custom software while serving as a BA/QA specialist for healthcare claims and EDI integrations. Responsibilities include requirements elicitation, process mapping, claims lifecycle analysis, EDI validation, functional and integration testing, SQL data profiling, defect management, UAT support, and release readiness. The role requires expertise in U.S. payer operations, HIPAA EDI transactions, healthcare coding standards, API testing, and data quality across claims systems and EDI gateways.

Lead digital workplace transformation from strategy and roadmap development through architecture, implementation, adoption, and operational improvement. Design and implement endpoint management, authentication, collaboration, DEX, generative AI, and security solutions for large-scale global organizations. Standardize AI-driven development and delivery approaches, evaluate technology investments, guide stakeholders, and support business transformation through consulting, project leadership, and technical implementation.

Develop and maintain scalable backend systems, RESTful APIs, and eCommerce integrations using Node.js and TypeScript. Responsibilities include coding, debugging, testing, documentation, database integration, technical troubleshooting, incident resolution, adherence to architecture standards, mentoring developers, and evaluating emerging technologies. The role requires collaboration with frontend, DevOps, and product teams, along with experience in GraphQL, backend frameworks, cloud technologies, CI/CD, code quality tools, and caching.

Provide application support by monitoring critical business systems, investigating incidents, diagnosing root causes, and resolving complex software issues. Lead incident response improvements, coordinate cross-functional teams, document resolutions, maintain knowledge bases, and mentor junior staff. Serve as a subject matter expert, make team decisions, and support system reliability and stability.