IN-Manager –Senior AI Engineer/Architect – GenAI Solutions IN IT Services CO IFS PAN India

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In ServiceNow consulting at PwC, you will gain extensive experience in ServiceNow applications and assist clients in optimising operational efficiency through analysis, implementation, training, and support tailored to ServiceNow software.

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:

We are seeking a Senior AI Engineer/Architect with deep technical expertise in architecting and building resilient, production-grade AI applications using modern GenAI frameworks and Retrieval-Augmented Generation (RAG) techniques. This role demands hands-on expertise in Python, LangChain ecosystem (LangFlow, LangGraph, LangFuse), and Vector Databases such as Azure AI Search, Qdrant, and the likes. The ideal candidate should be capable of architecting intelligent, highly performant AI agent-based systems that combine LLMs with semantic search, tool orchestration, and business logic.

  

Responsibilities:

• Design, develop and deploy LLM-powered intelligent agents and RAG-based applications using frameworks like LangChain, LangFlow, and LangGraph.
• Implement LangFuse for observability, latency tracking, and hallucination detection in GenAI pipelines.
• Build scalable semantic search pipelines using vector databases such as Qdrant, Pinecone, Azure AI Search, and integrate with LLM-driven workflows.
• Develop Python-based microservices for embedding AI capabilities into enterprise-grade platforms using frameworks such as FastAPI, FastMCP, Flask, or Django.
• Leverage OpenAI, Gemini, Claude, or open-source LLMs (e.g., LLaMA, PaLM, Mistral) via APIs or self-hosted models for multi-turn conversations and knowledge-driven tasks.
• Construct multi-hop reasoning, tool-calling agents capable of real-world decision-making across domains like customer support, marketing, and operations.
• Automate deployment of AI solutions, using Azure DevOps or GitHub Enterprise and GitHub Actions.
• Effectively collaborate with data engineers, AI developers and product teams to review existing AI Solutions architecture and identify technical alternatives to improve non-functional capabilities of existing solutions.
• Align GenAI solutions with business use cases and ensure robust delivery pipelines.
• Define and implement in-house evaluation metrics for latency, grounding, factual consistency, and user engagement.

Mandatory skill sets:

• Proficiency in Python with a strong understanding of data structures, concurrency, and REST API development and deployments on Serverless environments on Microsoft Azure.
• Extensive, hands-on experience with GenAI tools: Predominantly,

• LangChain (Agents, Chains, Callbacks, Tools),
• LangFlow (Visual orchestration of agent workflows),
• LangGraph (Stateful graph-based agent routing),
• LangFuse (Monitoring & Evaluation).

• Proven experience with RAG-based system design, including chunking, embedding generation, retrieval strategies (dense, hybrid), and feedback loops.
• Exposure to Azure AI Services like AI Search (formerly Cognitive Search), Document Intelligence.
• Exposure to Microservices-oriented and Containerized deployment architecture leveraging Azure Kubernetes Services (AKS)
• Hands-on with Vector Stores: Qdrant, Azure AI Search, Pinecone, Chroma, Weaviate.
• Solid understanding of Embedding Models, Chat
  Completion Models, LLM token limits, context windowing, and semantic similarity techniques.
• Knowledge of OpenAI API, LiteLLM, Hugging Face Transformers, and LLM fine-tuning & evaluation.
• Extensive experience building and deploying LLM solutions in cloud environments like Azure.
• Exposure to observability tooling and latency optimization strategies in GenAI pipelines.
• Experience in prompt engineering, context synthesis, and few-shot learning patterns.
• Working knowledge of CI/CD pipelines to deploy AI solutions, using Azure DevOps or GitHub Enterprise and GitHub Actions.

Preferred skill sets:

Azure Devops, AI

Years of experience required:

8+ yrs

Education qualification:

Bachelors

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure DevOps

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Application Security, Coaching and Feedback, Communication, Configuration Management (CM), Creativity, Cybersecurity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Human Resources (HR) Consulting, Inclusion, Intellectual Curiosity, IT Change Management, Learning Agility, Optimism, Professional Courage, Relationship Building, Risk Compliance, Self-Awareness {+ 5 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date