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Senior Associate – AI Engineer, Advisory

PwC
NewPosted today

LOCATION

Bengaluru Millenia · Onsite

EXPERIENCE

5 - 9 Years

TYPE

FullTime

SKILLS REQUIRED

RAGLangchainAzure OpenAISystem DesignPythonLLM EvaluationResponsible AIVector Databases

Job description

Overview

Senior AI Engineer / Lead GenAI Engineer to architect and lead scalable, secure, production-ready AI solutions for enterprise clients in the Banking and Financial Services sector, supporting Global Capability Centers.

What you'll do

  • Lead the architecture, design, and implementation of enterprise-grade AI applications and intelligent workflows, leveraging LLMs, RAG, semantic search, agentic and multi-agent systems, and orchestration frameworks.
  • Partner with business stakeholders, product teams, and engineering leaders to translate business needs into scalable AI solution roadmaps.
  • Mentor engineers, conduct design and code reviews, and elevate the overall engineering maturity of the AI team.
  • Stay current with the evolving AI ecosystem and guide adoption of relevant tools, frameworks, and best practices.

What you'll need

  • 5–9 years of software architecture and distributed system design experience, including 3+ years of designing production-grade AI/ML solutions.
  • Proven hands-on experience building production LLM applications using frameworks like LangChain, LangGraph, LlamaIndex, or agentic workflows (CrewAI, AutoGen, Semantic Kernel).
  • Hands-on experience across multiple AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI/Gemini, or AWS Bedrock.
  • Experience with evaluation-driven development and observability tools such as LangSmith, RAGAS, or DeepEval, along with responsible AI and guardrail practices.
  • Strong hands-on experience with Azure, AWS, or GCP, including containerization, CI/CD, and production deployment of scalable AI applications.
  • Familiarity with BFSI compliance frameworks (GDPR, DORA, Basel III/IV) and exposure to use cases such as payments, trade finance, or lending workflows.
  • Strong stakeholder communication skills with the ability to mentor engineers and translate business goals into scalable, measurable AI solutions.
  • Education: Bachelor of Engineering and MBA (Master of Business Administration).

Details

  • Base location: Bangalore / Pune.
  • Candidates must be willing to travel to client locations, when required, for extended engagements of 6–8 months outside their base location; monthly flybacks and accommodation costs are covered by the company.
  • Visa sponsorship: No.
  • Government clearance required: No.
  • Job posting end date: September 15, 2026.

Read the full description and apply on the company’s own careers page.

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Senior Associate – AI Engineer, Advisory