IN_Senior Associate_Gen AI_OC Data & Analytics (D&A)_Advisory_Bangalore

Price Waterhouse Cooper LLP; Bengaluru; Presencial; INR 4.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

Price Waterhouse Cooper LLP in Bengaluru, India is seeking a senior AI/GenAI engineer to architect and lead enterprise-scale GenAI and agentic AI initiatives. You will design multi-agent systems, define roadmaps, and work with data, cloud, and security teams to deliver integrated AI solutions.

Ideal candidates have 5–8 years in tech with 3+ years in GenAI/LLM engineering, strong Python, and experience building AI Copilots and platforms.

Formación

• 5–8 years of technology experience with 3+ years in GenAI / LLM engineering.
• Strong expertise in LLMs and foundation models, Agentic AI and multi-agent architectures.
• Hands-on experience with LangChain , LangGraph , AutoGen , CrewAI , Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Azure, AWS, GCP, MLflow , Databricks, Fabric, and Kubernetes.
• Strong Python and software engineering background.
• Experience building AI Copilots and enterprise AI platforms.

Responsabilidades

• Architect and lead enterprise-scale GenAI and Agentic AI solutions.
• Design and implement multi-agent systems, RAG architectures, AI copilots, enterprise knowledge assistants and AI workflow automation platforms.
• Lead end-to-end AI product development from ideation to production deployment.
• Establish AI engineering standards, evaluation frameworks, guardrails, and governance.
• Build scalable AI platforms leveraging cloud-native services and modern MLOps / LLMOps practices.
• Guide engineering teams through architecture, design reviews, and technical mentoring.
• Work directly with clients to define AI strategy, use cases, roadmaps, and implementation plans.
• Collaborate with Data Engineering, Cloud, Cyber, and Business teams to deliver integrated solutions.

Conocimientos

GenAI / LLM engineering

LLMs & foundation models

Prompt engineering

Python

AI governance

Educación

BE/BTech/MCA/MBA

Herramientas

LangChain

LangGraph

AutoGen

CrewAI

Azure OpenAI

OpenAI

Anthropic Claude

Gemini

Azure

AWS

GCP

MLflow

Databricks

Fabric

Kubernetes

Descripción del empleo

Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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.

• Architect and lead enterprise-scale GenAI and Agentic AI solutions.
• Design and implement multi-agent systems, RAG architectures, AI copilots, enterprise knowledge assistants and AI workflow automation platforms.
• Lead end-to-end AI product development from ideation to production deployment.
• Establish AI engineering standards, evaluation frameworks, guardrails, and governance.
• Build scalable AI platforms leveraging cloud-native services and modern MLOps / LLMOps practices.
• Guide engineering teams through architecture, design reviews, and technical mentoring.
• Work directly with clients to define AI strategy, use cases, roadmaps, and implementation plans.
• Collaborate with Data Engineering, Cloud, Cyber, and Business teams to deliver integrated solutions.

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Operations

Management Level Senior Associate

Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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.

• Architect and lead enterprise-scale GenAI and Agentic AI solutions.
• Design and implement multi-agent systems, RAG architectures, AI copilots, enterprise knowledge assistants and AI workflow automation platforms.
• Lead end-to-end AI product development from ideation to production deployment.
• Establish AI engineering standards, evaluation frameworks, guardrails, and governance.
• Build scalable AI platforms leveraging cloud-native services and modern MLOps / LLMOps practices.
• Guide engineering teams through architecture, design reviews, and technical mentoring.
• Work directly with clients to define AI strategy, use cases, roadmaps, and implementation plans.
• Collaborate with Data Engineering, Cloud, Cyber, and Business teams to deliver integrated solutions.

Mandatory skill sets:

• 5–8 years of technology experience with 3+ years in GenAI / LLM engineering.
• Strong expertise in LLMs and foundation models, Agentic AI and multi-agent architectures, advanced RAG frameworks, prompt engineering, AI evaluation frameworks, AI governance and Responsible AI, vector databases and knowledge retrieval.
• Hands‑on experience with LangChain , LangGraph , AutoGen , CrewAI , Azure OpenAI, OpenAI, Anthropic Claude, Gemini, Azure, AWS, GCP, MLflow , Databricks, Fabric, and Kubernetes.
• Strong Python and software engineering background.
• Experience building AI Copilots and enterprise AI platforms.

Preferred skill sets:

• Experience leading AI engineering teams.
• Exposure to AI product management and solution architecture.
• Experience with multimodal AI, document intelligence, and enterprise search.
• Relevant certifications in Azure AI, AWS AI/ML, Google AI, OpenAI, Anthropic, or equivalent.

Years of experience required :

• 4 +

Education qualification:

• BE/ Btech /MCA/MBA

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology

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

Certifications (if blank, certifications not specified)

Required Skills Generative AI

Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI‑Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date September 2, 2026