IN_Senior Associate_Agentic AI Engineer_GCC_Advisory_Bangalore
PwC
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
PwC Bengaluru is seeking an experienced Senior Associate to drive enterprise-grade agentic AI solutions built on Java microservices and cloud-native platforms. You will design, develop, and deploy AI agents, orchestrate RAG pipelines, and secure scalable back-end services within a modern DevOps environment.
You will collaborate across teams to deliver resilient AI systems, leveraging LangGraph, LangChain, and Kubernetes, with strong emphasis on observability, security, and governance.
Qualifications
- 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.).
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 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, logging, tracing, and metrics.
- Design centralized configuration and secrets management using Vault or AWS Secrets Manager.
- Implement GitOps-based deployment strategies using ArgoCD.
- Build resilient systems using retries and 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.
Skills
Education
Tools
Job description
Advisory
FS X-Sector
Operations
Senior Associate
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
AtPwC, 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
.
AtPwC, 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. “
Drive the design, development, and deployment of enterprise-grade agentic AI solutions built ona strong foundationof 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.
- Design and build agentic AI systems integrated with enterprise Java microservices (Spring Boot-based architectures).
- Develop and deploy AI agents using frameworks such asLangChain,LangGraph, Bedrock Agents,AutoGen, orCrewAI.
- 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 usingOpenTelemetry(OTEL), logging, tracing, and metrics.
- Design centralized configuration andsecretsmanagement usingHashiCorpVault or AWS Secrets Manager.
- ImplementGitOps-based deployment strategies using tools such asArgoCD.
- 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.
- Strong Java and Spring Bootmicroservicesdevelopment 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 withGitOps, CI/CD pipelines, and container platforms.
- ProficiencyinGraphQLAPI design and development.
- Understanding ofGenAI 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.).
- Exposure to Internal Developer Platforms (IDP).
- Experience with service mesh (Istio).
- Knowledge of multi-cloud deployment (AWS/Azure/GCP).
- Exposure toagentic UX patterns.
- Familiarity with AI orchestration tools.
- Hands-on experience with agentic AI systems in production.
- Experience with tools likeClaude,Cursor.
- Deep experience with agentic frameworks (LangGraph,CrewAI, etc.).
- Exposure tofull-stack AI applications.
Certifications (Preferred)
AWS Developer / Solutions Architect
Kubernetes Certification (CKA/CKAD),AWSor Azure AI Certifications
4 to 8
BE/Btech/MCA/Mtech/MBA
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)
Degrees/Field of Study preferred:
Required Skills
Agentic AI
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}
Travel Requirements
Not Specified
No
No
July 7, 2026
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