Leads Salesforce architecture and commercial excellence initiatives focused on quote-to-cash, professional services automation, resource management, project accounting, and service operations. Designs scalable Salesforce solutions, integrations with ERP, HCM, and financial systems, governance standards, and platform strategies. Advises stakeholders, guides implementations, evaluates AI and Salesforce innovations, and mentors delivery teams. The role requires deep Salesforce CPQ and core platform expertise, AI-assisted development practices, middleware knowledge, and extensive architectural leadership experience.

Build and deploy production-grade full-stack AI systems for clients and internal accelerators. Responsibilities include data modeling, ETL/ELT pipelines, SCD implementation, dbt transformations, Python/FastAPI services, Next.js applications, AI agent and RAG workflows, orchestration, CI/CD, and AWS/Azure cloud deployments. The role owns projects end to end, translates ambiguous requirements into technical solutions, communicates with business stakeholders, and contributes reusable data and AI assets.

Design, build, test, and deploy production-grade agentic AI systems using Python, LangGraph, LangChain, AWS Bedrock, and orchestration tools. Integrate AI agents with APIs and business systems, implement memory and retrieval, establish observability and safeguards, and develop reusable SDKs and templates. Collaborate directly with clients to define requirements, run experiments, and rapidly deliver reliable AI solutions using modern software engineering, cloud deployment, and CI/CD practices.