IN_Senior Associate_Agentic AI Engineer_GCC_Advisory_Bangalore

About 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.

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.

Role Summary

Drive the design, development, and deployment of enterprise-grade agentic AI solutions built on a strong foundation of Java microservices, cloud-native architecture, and secure, scalable platforms. The role blends Agentic AI engineering with modern backend engineering practices to deliver production-ready, resilient, and governed AI systems, along with the ability to contribute to end-to-end application layers.

Responsibilities

• Design and build agentic AI systems integrated with enterprise Java microservices (Spring Boot-based architectures)
• Develop and deploy AI agents using frameworks such as LangChain, LangGraph, Bedrock Agents, AutoGen, or CrewAI
• Implement RAG pipelines, prompt engineering techniques, and evaluation frameworks
• Build secure, scalable APIs and backend services using Spring Boot and opinionated Internal Developer Platforms (IDP)
• Implement OAuth 2.0, JWT-based authentication, and secure service-to-service identity
• Architect Kubernetes-native applications following 12-Factor principles
• Enable observability using OpenTelemetry (OTEL), logging, tracing, and metrics
• Design centralized configuration and secrets management using HashiCorp Vault or AWS Secrets Manager
• Implement GitOps-based deployment strategies using tools such as ArgoCD
• Build resilient systems using retries, circuit breakers (Resilience4j)
• Implement API security and authorization using RBAC and ABAC models
• Work with service mesh technologies such as Istio
• Integrate cloud IAM and Kubernetes workload identity
• Develop event-driven systems using Apache Kafka
• Collaborate with teams to deliver scalable AI solutions

Mandatory Skills

• Strong Java and Spring Boot microservices development experience
• Experience in building cloud-native applications on Kubernetes
• Hands-on experience with OAuth2, JWT, and secure API development
• Deep knowledge of distributed systems and resilience patterns
• Strong experience with observability tools (OTEL, Prometheus, Grafana)
• Strong experience with Kafka-based event-driven architecture
• Hands-on with GitOps, CI/CD pipelines, and container platforms
• Proficiency in GraphQL API design and development
• Understanding of GenAI fundamentals including LLMs, RAG pipelines, and agentic AI landscape
• Experience with ReactJS for integrated application layers
• Hands-on experience with NoSQL databases (MongoDB, DynamoDB, etc.)

Preferred Skills

• Exposure to Internal Developer Platforms (IDP)
• Experience with service mesh (Istio)
• Knowledge of multi-cloud deployment (AWS/Azure/GCP)
• Exposure to agentic UX patterns
• Familiarity with AI orchestration tools
• Hands-on experience with agentic AI systems in production
• Experience with tools like Claude, Cursor
• Deep experience with agentic frameworks (LangGraph, CrewAI, etc.)
• Exposure to full-stack AI applications

Certifications (Preferred)

• AWS Developer / Solutions Architect
• Kubernetes Certification (CKA/CKAD)
• AWS or Azure AI Certifications

Requirements

Years of Experience: 4 to 8

Education Qualification: BE/Btech/MCA/Mtech/MBA

Degrees/Field of Study Required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering

Degrees/Field of Study Preferred: Not specified

Position Details

Line of Service: Advisory

Industry/Sector: FS X-Sector

Specialism: Operations Management

Level: Senior Associate

Job Posting End Date: July 5, 2026

Travel Requirements: Not specified

Work Visa Sponsorship: Not specified

Government Clearance Required: No