1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Define end-to-end agentic architectures for orchestration, planning, tool use, memory, evaluation loops, and multi-agent workflows.
- Standardize LLM providers, embedding models, vector databases, retrieval strategies, prompt templates, evaluators, and observability stacks.
- Lead discovery, scoping, proof-of-concept, pilot, and scale-out phases for practical AI solutions.
- Own security, privacy, compliance, performance, reliability, and cost-efficiency requirements, including token and compute budgeting.
- Design data contracts, chunking, indexing, hybrid search, citations, grounding, freshness pipelines, and hallucination-reduction guardrails.
- Define integration strategies for enterprise systems, event streams, APIs, gateways, CI/CD, and release governance.
- Establish offline and online evaluations, end-to-end telemetry, failure-mode mitigations, and responsible AI safety policies.
- Guide developer squads and contribute to playbooks, training tracks, coding standards, and AI-native hiring interviews.
Requirements
- At least 15 years of experience in Java Full Stack Development.
- 15 years of full-time education is required.
- Strong computer science and software engineering fundamentals.
- Hands-on experience with LLMs, RAG, vector databases, and AI APIs.
- Proven ability to build end-to-end applications and integrate AI into software systems.
- A visible portfolio of AI projects demonstrating experimentation and rapid iteration.
- Ability to translate business problems into practical AI solutions and communicate clearly with business and engineering stakeholders.
- Primary proficiency in at least one of Python, TypeScript/Node.js, or Java.
- Familiarity with C#/.NET, Go, Rust, SQL, PostgreSQL/pgvector, and shell scripting is beneficial.
- Experience designing multi-agent systems, production-grade RAG, vector databases, hybrid search, and agent frameworks or custom orchestration.
- Experience with LLMOps/ModelOps practices including prompt versioning, evaluation harnesses, feature flags, canarying, A/B testing, and safety gateways.
- Knowledge of cloud-native architecture, containers, serverless systems, events, secrets management, policy as code, and AI cost governance.
- Experience with enterprise integration, API gateways, event buses, JMS/Kafka messaging, and contract testing.
Benefits
- The position is based at the Accenture office in Bengaluru.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.