1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Define reusable architectures and reference patterns 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 components.
- Lead discovery, scoping, proof-of-concept, pilot, and scale-out delivery of practical AI solutions.
- Own non-functional requirements including security, privacy, compliance, performance, reliability, and AI token or compute cost efficiency.
- Design data contracts, chunking and indexing strategies, hybrid search, citations, grounding, freshness pipelines, and hallucination guardrails.
- Define enterprise integration approaches for APIs, gateways, event streams, messaging, CI/CD, and release governance.
- Establish offline and online evaluation, end-to-end telemetry, failure-mode mitigation, safety policies, and access or action boundaries.
- Guide developer squads, create enablement materials and coding standards, and participate in AI hiring interviews.
Requirements
- At least 12 years of experience in Java full-stack development.
- 15 years of full-time education.
- 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 existing systems.
- A visible portfolio of AI projects demonstrating experimentation and rapid prototyping.
- Ability to translate business problems into practical AI solutions and communicate clearly with business and engineering stakeholders.
- Experience designing multi-agent systems, production-grade RAG, vector databases, hybrid search, and agent frameworks or custom orchestration.
- Experience with LLMOps or 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 or Kafka messaging, and contract testing.
- Primary proficiency in Python, TypeScript/Node.js, or Java; C#/.NET, Go, Rust, SQL, and shell scripting are beneficial.
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.