Generative AI Architect-Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India is seeking a Generative AI Architect‑Manager to lead enterprise AI initiatives across data engineering and analytics. You will guide cross‑functional teams to transform raw data into actionable insights and scalable, AI‑driven solutions.

The role emphasizes hands‑on architecture, governance, and coaching, with responsibilities spanning ML pipelines, data lakes, security, and client collaboration to drive growth across geographies.

Qualifications

• At least a Bachelor's & Master's degree required.
• 8+ years of experience in AI/Analytics or related field.
• Proficiency in English, both written and spoken.

Responsibilities

• Lead the design and development of advanced data solutions to transform raw data into actionable insights.
• Guide teams in leveraging advanced analytics and AI for data-driven decision making.
• Utilize ML/AI to enhance data science workflows and predictive modeling.
• Develop and implement data pipelines and data lakes for complex analysis.
• Oversee data visualizations to inform strategic decisions and client outcomes.
• Collaborate with client teams to identify opportunities for data-driven growth.
• Mentor team members to grow data science and analytics skills.
• Validate data quality and integrity within analytics frameworks.
• Encourage adoption of innovative technologies and practices in data engineering.
• Address conflicts or issues to maintain project timelines and deliverables.

Skills

Generative AI

Data pipelines

Python

Cloud platforms

Kubernetes

Education

Bachelor's & Master's degrees

Tools

Azure AI Foundry

Amazon Bedrock

Google Vertex AI

LangChain

LangGraph

CrewAI

AutoGen

Kubernetes

Docker

Job description

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Generative AI Architect‑Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Data and Analytics Engineering practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members’ unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

In this role at PwC Acceleration Center India, you will embrace technology and innovation to enhance your delivery and encourage others to do the same. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. By analyzing and identifying the linkages and interactions between the component parts of an entire system, you will contribute to the success of our firm. You will also address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.

Responsibilities

• Leading the design and development of advanced data solutions to transform raw data into actionable insights
• Guiding teams in leveraging advanced analytics and statistical techniques for data‑driven decision making
• Utilizing machine learning and artificial intelligence to enhance data science workflows and predictive modeling
• Developing and implementing data pipelines and data lakes to support complex data analysis
• Overseeing the creation of data visualizations to solve complex business problems and inform strategic decisions
• Collaborating with client teams to identify opportunities for data‑driven growth and innovation
• Mentoring team members to develop their skills in data science and analytics
• Validating data quality and integrity within analytics frameworks
• Encouraging the adoption of innovative technologies and leading practices in data engineering
• Addressing and resolving conflicts or issues with clients and team members to maintain project timelines and deliverables

What You Must Have

• At least a Bachelor's & Master's degree
• At least 8 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Over 3 years of experience in developing and scaling Generative AI projects from prototypes to enterprise production, managing throughput, latency, cost, and multi‑region deployments.
• Proven expertise implementing AI interoperability protocols like MCP (Model Context Protocol) and A2A (Agent‑to Agent) at scale for seamless system integration.
• Skilled in using enterprise cloud AI platforms such as Azure AI Foundry, Amazon Bedrock, and Google Vertex AI to build and deploy production‑grade agentic AI solutions.
• Advanced Python programming skills and hands‑on experience with agentic AI frameworks including LangChain, LangGraph, CrewAI, and AutoGen for building robust generative AI applications.
• Deep understanding of advanced Retrieval
• Augmented Generation (RAG) architectures (Graph RAG, Vectorless RAG, Hybrid RAG) and traditional AI/ML fundamentals like model building, fine‑tuning, and evaluation.
• Strong knowledge of LLM security risks—prompt injection, jailbreaking, data exfiltration, tool misuse—and experience designing defense‑in‑depth safeguards within agentic system architectures.
• Expertise in containerization and cloud‑native orchestration (Kubernetes, Docker, serverless) and event‑driven architectures for scalable deployment of agentic AI workloads; holds relevant AI or solution architecture certifications.