Skip to main content Skip to footer

Descripción De La Posición

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Role Summary
Lead the design and delivery of agentic AI solutions—composable, multi agent systems that integrate LLMs, RAG pipelines, vector databases, and enterprise APIs—so teams can move from automation to autonomy across business workflows.
Outcomes & Responsibilities
Architecture & Patterns
o Define end to end agentic architectures (orchestration, planning, tool use, memory, evaluation loops), and publish reusable reference designs and patterns for multi agent workflows.
o Standardize components: LLM providers, embedding models, vector DBs, retrieval strategies, prompt templates, evaluators, and observability stacks.
Solution Design & Delivery
o Translate business problems into practical AI solutions lead discovery, scoping, PoC, pilot, and scale out phases with clear communication to business and engineering stakeholders.
o Own non functional requirements: security, privacy, compliance, performance, reliability, and cost efficiency (incl. token/compute budgeting).
Data & RAG
o Establish data contracts and retrieval patterns (chunking, indexing, hybrid search, citations/grounding, freshness). Design guardrails to minimize hallucinations and enforce factuality.
Platforms & Integration
o Define integration strategies with enterprise systems, event streams, APIs/gateways, and CI/CD ensure alignment with SDLC and release governance.
Quality & Responsible AI
o Set evaluation frameworks (offline/online), E2E telemetry, failure modes/mitigations, and safety policies for content, access, and action boundaries.
Leadership
o Guide squads of developers contribute to internal enablement (playbooks, training tracks, coding standards). Support interviewer panels for AI native hiring.
Must Have Qualifications (AI Native archetype)
Strong CS and software engineering fundamentals.
Hands on experience with LLMs, RAG, vector DBs, and AI APIs.
Proven ability to build end to end applications and integrate AI into systems.
Visible portfolio of AI projects demonstrating experimentation and speed.
Fast learner with a bias for rapid prototyping and iteration.
Able to translate business problems into practical AI solutions with clear communication.
Programming Languages (Architect)
Primary proficiency (at least one):
o Python (fast prototyping, LangChain/LlamaIndex, eval harnesses)
o TypeScript/Node.js (agent orchestration in services, API tooling)
o Java (enterprise integration, microservices, performance)
Secondary/beneficial: C#/.NET, Go, Rust (for performance critical agents or tooling), SQL (PostgreSQL/pgvector), Shell scripting (DevOps automation).
Ecosystem familiarity: LangChain, LlamaIndex, Semantic Kernel vector DBs (pgvector, Pinecone, Weaviate, Milvus) messaging (Kafka/JMS) API gateways cloud SDKs (Azure/AWS/GCP).
Preferred Skills & Experience
Designing multi agent systems (planner/executor roles, collaboration protocols, tool abstraction) experience with agent frameworks or custom orchestration.
Production grade RAG (retrieval evaluators, re ranking, freshness pipelines), vector DBs, and hybrid search.
LLMOps/ModelOps: prompt/versioning, eval harnesses, feature flags, canarying, A/B testing, safety gateways.
Cloud native architecture (containers, serverless, events), secrets management, policy as code, and cost governance for AI workloads.
Enterprise integration: API gateways, event buses, messaging (JMS/Kafka), and contract testing.


Additional Information:
- The candidate should have minimum 12 years of experience in Java Full Stack Development.
- This position is based at our Chennai office.
- A 15 years full time education is required.

Requisitos

15 years full time education

Vida en Accenture

Ambiente Laboral

Saca lo mejor de ti todos los días en un ambiente laboral que te ayudará a impulsar innovación en todo lo que haces.

Capacitación y Desarrollo

Aprovecha tu tiempo para aprender en nuestros learning hubs, connected classrooms, cursos en línea y learning boards.

Conoce Más de Accenture

Nuestra Experiencia

Descubre cómo adoptamos el poder del cambio para crear valor y éxito compartido para nuestros clientes, personas, accionistas, socios y comunidades.

Conoce nuestra gente

Desde chicos de nuevo ingreso hasta líderes, a través de todos los negocios e industrias, conoce a nuestra gente que aprovecha la tecnología para marcar la diferencia, todos los días.

Mantente conectado

Únete a nuestro equipo

Descubre vacantes abiertas de acuerdo con tus capacidades e intereses. Buscamos personas apasionadas, curiosas, creativas que conduzcan a soluciones y quieran transformar el mundo.

Mantente actualizado

Entérate de tips para tu carrera, perspectivas y experiencias de las personas que trabajan en Accenture y que puedes llevar a cabo en tu día a día.