Generative AI Architect- Manager
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 8, 2026. PwC UK scores A on the Alion truth index.
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
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 focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Manager, you will enhance your leadership style, motivating and developing your team to deliver quality results. 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 take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will embrace technology and innovation to enhance your delivery and encourage others to do the same. 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. This opportunity allows you to develop skills outside your comfort zone and inspire others to achieve their potential.
Responsibilities
- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Guiding teams in leveraging artificial intelligence and machine learning techniques to solve complex business problems
- Utilizing data science algorithms and statistical modeling to drive data-driven decision making
- Developing and implementing data pipelines and data lakes to support large-scale data analysis
- Building predictive models using neural networks and deep learning frameworks
- Collaborating with stakeholders to identify opportunities for data-driven innovation and strategic decision making
- Mentoring team members in data science workflows and troubleshooting techniques
- Promoting the use of innovative technologies and leading practices in data engineering and analytics
- Validating data quality and compliance within analytics frameworks
- Encouraging intellectual curiosity and learning agility to enhance team performance and growth
What You Must Have
- At least a Bachelor's degree
- At least 4 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.
Travel Requirements
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