Agentic Engineering & Client Delivery

• Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients
• Translate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices.
• Build production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Contribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients.
• Help establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center.
• Collaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements.
• Ensure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches.

Practice & Firm Contribution

• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering.
  • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.