IN_Sr Manager_FDC, GenAI_Agentic Automation_Advisory_Bangalore
- Location
- Bengaluru Millenia
- Work mode
- On-site
- Employment type
- Full-time
Skills mentioned
- Agentic AI
- Python
- LangGraph
- RAG
- Multi-agent architectures
- TypeScript/Node.js/Go/Java
- Knowledge graphs
- Model Context Protocol
- Retrieval design
- Process mining
- Executive stakeholder management
- Production deployment
Picked out of the job description automatically; check the full description for what the employer asks for.
About the job
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
*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 . 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. "
Job description & Summary The Frontier Deployment Consultant (FDC),Gen AI is a client-embedded builder-advisor responsible for converting high-value enterprise AI opportunities into secure, reliable and production-ready agentic systems. The role combines structured consulting, executive stakeholder management and hands-on engineering. You will work within client infrastructure, data, security and release processes to take workflows from hypothesis and prototype through production deployment, adoption and measurable business value. FDCs operate in small delivery pods and are accountable for time-to-value, reliability, adoption, unit economics and client self-sufficiency. The role requires 50–70% onsite presence and may involve travel across India, GCC hub cities and client headquarters. Managers typically spend 50–70% of their time building; Senior FDCs spend approximately 30–40% building while leading account outcomes, architecture, governance and CXO relationships. Responsibilities:
- Diagnose and prioritize workflows where agentic AI can materially improve cost-to-serve, cycle time, throughput, revenue leakage or total cost of ownership.
- Partner with CEOs, COOs, CDOs, CTOs, CISOs, CFOs and business leaders to shape the value case, delivery scope, adoption model and measurable outcomes.
- Build working 0→1 prototypes rapidly and convert validated concepts into production systems rather than presentation-only deliverables.
- Design and implement multi-agent architectures, including planner–executor patterns, agent handoffs, durable state, checkpointing, retries, cancellation and human-in-the-loop escalation.
- Implement Model Context Protocol (MCP), agent-to-agent interoperability, model routing, fallback and hybrid pipelines across LLMs, SLMs and traditional ML components.
- Design retrieval and knowledge solutions covering ingestion, chunking, embeddings, re-indexing, reranking, hybrid search, graph retrieval, knowledge graphs, semantic layers and RAG evaluation.
Mandatory skill sets:
- FDC, Python, including typing, testing, packaging and profiling, plus one of TypeScript/Node.js, Go or Java.
- Demonstrated production experience in at least two frameworks such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, AutoGen, CrewAI, Semantic Kernel or Pydantic AI.
• Ingestion and chunking design, embedding lifecycle, re-indexing, reranking, hybrid/graph retrieval and RAG evaluation.
- Ingestion and chunking design, embedding lifecycle, re-indexing, reranking, hybrid/graph retrieval and RAG evaluation.
- Knowledge graph, ontology and semantic-layer experience using Neo4j, GraphRAG or equivalent.
- Delivery experience within a Global Capability Center (GCC) or global business services environment.
- Industry depth in BFSI, life sciences, energy, telecom or industrial products.
- Process fluency in S2P, O2C, R2R, claims, KYC/AML or clinical operations.
- Deployment experience in regulated, data-resident or air-gapped environments.
- Process-mining or workflow-discovery experience using Celonis or equivalent.
- Open-source contributions, published technical writing or conference participation in agentic AI.
• Non-linear backgrounds such as technical founder, staff engineer with client-facing experience, or consultant with strong production engineering depth. Years of experience required: 10- 14 yrs Education qualification: Bachelor’s or master’s degree in Computer Science, Engineering,or another quantitative discipline, or equivalent capability demonstrated through relevant work experience. BE/BTech/MTech/MCA or equivalent qualifications are suitable.
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)
Required Skills Agentic AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication {+ 47 more} Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date September 15, 2026
From PRICEWATERHOUSECOOPERS's careers page (Workday), checked 4 Nov 2026.
How to apply
- Select Apply on pwc.wd3.myworkdayjobs.com. It opens PRICEWATERHOUSECOOPERS's own application form in a new tab, run on Workday.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- PRICEWATERHOUSECOOPERS will reply to you directly. No real employer asks you for money to apply.
Posted 4 Nov 2026 · checked 4 Nov 2026 · Report this job