Accenture

Accenture

Posted via Workday

Custom Software Engineer

Posted Sep 20, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not Disclosed
Location
Hyderabad
Work arrangement
Hybrid
Employment
Full-time
Experience
Minimum 12 year(s) of experience is required
Education
15 years full time education

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Role Summary

AI-generated

The Custom Software Engineer will lead the design and delivery of agentic AI solutions, including composable multi-agent systems that integrate LLMs, RAG pipelines, vector databases, and enterprise APIs. The role supports movement from automation to autonomy across business workflows while guiding development teams and establishing reusable architecture, quality, and integration practices.

What You'll Do

  • Define end-to-end agentic architectures and publish reusable reference designs and patterns for multi-agent workflows.
  • Standardize LLM, embedding, vector database, retrieval, prompt, evaluation, and observability components.
  • Lead discovery, scoping, proof-of-concept, pilot, and scale-out phases for AI solutions.
  • Establish data contracts and retrieval patterns, including chunking, indexing, hybrid search, citations, grounding, and freshness.
  • Define integration strategies with enterprise systems, event streams, APIs, gateways, CI/CD, and release governance.
  • Set evaluation frameworks, telemetry, failure-mode mitigations, and safety policies while guiding developer squads and internal enablement.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Must have Java Full Stack Development, strong computer science and software engineering fundamentals, hands-on experience with LLMs, RAG, vector databases, and AI APIs, and the ability to build end-to-end applications and integrate AI into systems.

Required

  • Java Full Stack Development
  • 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
  • Python, TypeScript/Node.js, or Java

Preferred

  • Designing multi agent systems
  • Experience with agent frameworks or custom orchestration
  • Production grade RAG
  • Vector DBs and hybrid search
  • LLMOps/ModelOps
  • Cloud native architecture
  • Containers, serverless, events, secrets management, policy as code, and cost governance for AI workloads
  • Enterprise integration with API gateways, event buses, messaging, and contract testing

Original job description

Content provided by the employer

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:
AI POWERED TECH TALENT
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 Hyderabad office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement


We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.