A

Accenture

Advises businesses and runs their technology

AI Native Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A minimum of 15 years of experience in Java Full Stack Development is required.
  • A minimum of 15 years of full-time education is required.
  • Strong computer science and software engineering fundamentals are required.
  • Hands-on experience with large language models, retrieval-augmented generation, vector databases, and artificial intelligence application programming interfaces is required.
  • Proven ability to build end-to-end applications and integrate artificial intelligence into systems is required.
  • A portfolio of artificial intelligence projects demonstrating experimentation and rapid delivery is required.
  • Ability to translate business problems into practical artificial intelligence solutions and communicate clearly with business and engineering stakeholders is required.
  • Proficiency in at least one of Python, TypeScript/Node.js, or Java is required.
  • Familiarity with LangChain, LlamaIndex, Semantic Kernel, vector databases such as pgvector, Pinecone, Weaviate, and Milvus, messaging technologies such as Kafka and JMS, application programming interface gateways, and cloud software development kits for Azure, AWS, or Google Cloud is required.

Responsibilities

  • Define end-to-end agentic architectures for orchestration, planning, tool use, memory, and evaluation loops, and publish reusable reference designs and patterns for multi-agent workflows.
  • Standardize components including large language model providers, embedding models, vector databases, retrieval strategies, prompt templates, evaluators, and observability stacks.
  • Translate business problems into practical artificial intelligence solutions and lead discovery, scoping, proof-of-concept, pilot, and scale-out phases with business and engineering stakeholders.
  • Own non-functional requirements covering security, privacy, compliance, performance, reliability, and cost efficiency, including token and compute budgeting.
  • Establish data contracts and retrieval patterns covering chunking, indexing, hybrid search, citations and grounding, and freshness; design guardrails to minimize hallucinations and enforce factuality.
  • Define integration strategies with enterprise systems, event streams, application programming interfaces and gateways, and continuous integration and delivery; ensure alignment with the software development lifecycle and release governance.
  • Set offline and online evaluation frameworks, end-to-end telemetry, failure-mode mitigations, and safety policies for content, access, and action boundaries.
  • Guide squads of developers and contribute to internal enablement through playbooks, training tracks, and coding standards.
  • Support interviewer panels for artificial intelligence-native hiring.
  • Build and ship production-ready software using artificial intelligence as a core part of the engineering lifecycle; apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software building and operations.

Desired Qualifications

  • Experience designing multi-agent systems with planner and executor roles, collaboration protocols, and tool abstraction, using agent frameworks or custom orchestration, is preferred.
  • Experience with production-grade retrieval-augmented generation, including retrieval evaluators, reranking, freshness pipelines, vector databases, and hybrid search, is preferred.
  • Experience with LLMOps or ModelOps, including prompt versioning, evaluation harnesses, feature flags, canary releases, A/B testing, and safety gateways, is preferred.
  • Experience with cloud-native architecture, including containers, serverless systems, and events, as well as secrets management, policy as code, and cost governance for artificial intelligence workloads, is preferred.
  • Experience with enterprise integration, including application programming interface gateways, event buses, messaging such as JMS or Kafka, and contract testing, is preferred.
  • Experience with C#/.NET, Go, Rust, SQL (PostgreSQL/pgvector), or shell scripting is beneficial.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs