IN_Senior Associate_AI Engineer_GCC_Advisory_Bangalore

*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more 
about us
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At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Senior AI Engineer / Lead GenAI Engineer 

5–9 Years Experience 

Experience: 5–9 years of overall experience, including 3+ years specializing in AI/ML solutioning. 

Base Location: Bangalore / Pune 

Mobility & Flexibility: 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 will be covered by the company. 

Company Overview 

As a leading global professional services firm, we sit at the intersection of strategy, technology, and industry expertise. Our Advisory practice partners with the world's most influential financial institutions to solve their most complex challenges. We are expanding our AI & Data Engineering capability to support Global Capability Centers (GCCs) in the Banking and Financial Services (BFS) sector — building, deploying, and scaling the future of intelligent finance. 

Role Summary 

We are building a world-class AI engineering capability delivering enterprise-grade intelligent applications through Generative AI and cloud-native architectures. We are seeking a Senior AI Engineer / Lead GenAI Engineer to architect and lead scalable, secure, production-ready AI solutions — bringing deep expertise in LLM-based systems, strong software and cloud engineering skills, and the ability to guide teams from design through deployment 

Key Responsibilities 

• →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. 

Required Skills 

• →AI/ML Architecture: 5–9 years of software architecture and distributed system design experience, including 3+ years of designing production-grade AI/ML solutions. 

• →Generative AI Engineering: Proven hands-on experience building production LLM applications using frameworks like LangChain, LangGraph, LlamaIndex, or agentic workflows (CrewAI, AutoGen, Semantic Kernel). 

• →Multi-Platform LLM Experience: Hands-on experience across multiple AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI/Gemini, or AWS Bedrock. 

• →AI Evaluation & Observability: Experience with evaluation-driven development and observability tools such as LangSmith, RAGAS, or DeepEval, along with responsible AI and guardrail practices. 

• →Cloud-Native Engineering: Strong hands-on experience with Azure, AWS, or GCP, including containerization, CI/CD, and production deployment of scalable AI applications. 

• →Financial Services Context: Familiarity with BFSI compliance frameworks (GDPR, DORA, Basel III/IV) and exposure to use cases such as payments, trade finance, or lending workflows. 

• →Leadership & Communication: Strong stakeholder communication skills with the ability to mentor engineers and translate business goals into scalable, measurable AI solutions. 

GCC Consultant

GCC Consultant

4-8 Years

MBA, BCOM