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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India • On-site
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Design, develop, and deploy enterprise-grade agentic AI solutions integrated with Java microservices and cloud-native architectures. Build secure, scalable APIs and implement RAG pipelines and observability frameworks to deliver production-ready AI systems.
Requires 4 to 8 years of experience with strong proficiency in Java, Spring Boot, Kubernetes, and event-driven architectures using Kafka. Candidates should have a deep understanding of GenAI fundamentals, LLMs, and secure API development.
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. Learn more
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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.
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.).
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
4 to 8
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com. PwC: Audit and assurance, consulting and tax services PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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Companies currently hiring include Accenture, PwC, Amazon, Hewlett Packard Enterprise, Genpact, among others. Browse the listings above to see every active employer.
Yes — 1548 of the 6200 open data & analytics positions offer remote or hybrid work (205 remote, 1343 hybrid).
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