Real job — pulled straight from PwC’s careers page · Verified July 27, 2026 · No reposts.
Job description
PwC is hiring a Senior AI Engineer — a full-time, based in Bengaluru role. Apply directly on PwC's careers page below.
IN_Senior Associate_AI Engineer (Java Microservices Focus) _GCC_Advisory_Bangalore
Location: Bengaluru Millenia
Time Type: Full time
Job Description
Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
OperationsManagement Level
Senior AssociateJob Description & Summary
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.
Job Description & 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 Skill sets
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 Skill sets
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
Years of Experience required
'4 to 7yrs
Education Qualification
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Agentic AI, Generative AI AgentsOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, 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, Configuration Management (CM), Continuous Process Improvement {+ 36 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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Frequently asked questions
What skills are required for Senior AI Engineer at PwC?
The required skills for Senior AI Engineer at PwC include: Java, Spring Boot, Microservices, Kubernetes, OpenTelemetry, Prometheus, Grafana, Kafka, CI/CD, GraphQL, Generative AI, LLM, RAG, React, MongoDB, DynamoDB, AWS, Azure, GCP, LangChain, LangGraph, ArgoCD.
What is the seniority level for Senior AI Engineer at PwC?
Senior AI Engineer at PwC is a Senior level position.
How do I apply for Senior AI Engineer at PwC?
You can view the full description and apply for Senior AI Engineer at PwC on EchoJobs: https://echojobs.io/job/pwc-in-senior-associate-ai-engineer-java-microservices-focus-gcc-advisory-bangalore-dempn.