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Agentic AI Engineer - Senior Associate - AI Managed Services - Consult

  • Source: Workday
  • Pwc
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job 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 an Agentic AI Engineer - Senior Associate within our AI Managed Services practice, you will focus on delivering outsourced solutions that streamline operations, reduce costs, and enhance efficiency for clients. Your role involves managing key processes and functions, utilizing project management, technology, and process optimization skills to provide exceptional services. As a Senior Associate, you will build meaningful client relationships, manage and inspire others, and navigate complex situations to grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using it as an opportunity for growth.

In this role at PwC Acceleration Center India, you will be part of a dynamic team focused on transitioning and running services, managing delivery teams, programs, and performance risks. Your work will involve continuous improvement and optimization of managed services processes, tools, and services. You will leverage your skills to interpret data, inform insights, and uphold professional standards, contributing to the broader objectives of your projects and the overall strategy. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is evolving.

Responsibilities

  • Managing and optimizing managed services processes and tools to enhance client operations
  • Leading delivery teams in executing project management and process optimization initiatives
  • Developing and implementing automation frameworks to streamline business processes
  • Collaborating with clients to identify opportunities for business transformation and process improvement
  • Utilizing analytical thinking to interpret data and inform strategic recommendations
  • Overseeing service delivery and performance management to meet client expectations
  • Engaging with stakeholders to facilitate continuous process improvement and innovation
  • Coordinating project planning and delivery to achieve timely outcomes
  • Upholding professional and technical standards in alignment with firm guidelines
  • Mentoring junior team members to foster skill development and professional growth

What You Must Have

Role 

Senior Associate – Agentic AI Engineer 

Experience 

5–8 years 

Work Location 

Anywhere in India (Preferably Hyderabad / Bangalore) 

Education 

Bachelor’s in Computer Science, Engineering, or related field (Master’s or cloud/AI certifications preferred) 

Core Skills 

Agentic AI Workflows, LLM Orchestration, Python, FastAPI, AWS (Bedrock), Docker & Kubernetes, Redis/ElastiCache 

Nice to Have 

MCP tools, Langfuse, Evaluation harnesses, AWS certifications, Enterprise AI governance 

What Sets You Apart

  • Utilizing automation frameworks for process improvement
  • Designing business process automation solutions
  • Managing operational performance and risk management
  • Engaging stakeholders effectively in managed services
  • Delivering excellence in project management and planning
  • Navigating complex data analytics environments
  • Embracing change and digital transformation initiatives

Travel Requirements

0%

Job Posting End Date

September 11, 2026

Skills

  • aws-managed-services
  • streamline
  • pwc
  • Python
  • FastAPI
  • amazon-web-services
  • bedrock
  • Docker
  • Kubernetes
  • Redis
  • amazon-elasticache
  • workday

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