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The Associate Principal Engineer in Cloud is responsible for leveraging IT expertise to provide strategic value to the organization and support innovative projects.

Develop and implement a data management strategy, oversee data governance and architecture, ensure compliance, and manage vendor relationships to support organizational goals.

Oversee complex projects for public sector and commercial clients, ensuring delivery, managing risks, and leading teams in digital transformation using Salesforce.

The role involves implementing and managing CI/CD pipelines, optimizing Terraform infrastructure automation, managing Kubernetes clusters, enhancing build processes, and troubleshooting DevOps issues.

The role involves leveraging tech knowledge to mentor teammates, tackle client challenges, and improve solutions for higher success levels.

The Principal Engineer - Senior Project Manager will oversee project delivery, manage risks, and lead a team while ensuring quality standards and client relationships.

Design, build, and maintain production-grade Python APIs and backend services (FastAPI); develop, deploy, and optimize LLM applications (OpenAI, Anthropic); implement end-to-end RAG with vector databases and semantic search; build MCP servers, multi-agent systems, event-driven architectures, and messaging; create and refine prompts and agents; monitor, secure, and scale AI infrastructure while collaborating across teams.

Design, build, and maintain production-grade GenAI systems and Python-based APIs. Implement end-to-end RAG, vector DBs, multi-agent systems, and secure MCP infrastructure. Optimize LLM integrations (OpenAI, Anthropic), event-driven architectures, and real-time messaging. Collaborate cross-functionally, create and refine prompts, and ensure reliability, scalability, and security in production generative AI solutions.

Lead architecture and delivery of enterprise-scale AI/ML solutions: run discovery workshops, design end-to-end AI and data architectures (including RAG, vector DBs, LLMs), define blueprints and API contracts, drive MLOps and observability, integrate AI outputs with enterprise systems, establish governance and standards, and mentor engineering teams through pilot to production.

Design and implement SAP-based retail industry solutions by analyzing functional requirements, defining architecture, coordinating development, supporting UAT and production rollouts, estimating effort, troubleshooting complex issues, leading POCs, and mentoring team members.