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Accenture

Advises businesses and runs their technology

Application Support Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 3 years of experience is required.
  • A minimum of 15 years of full-time education is required.
  • Hands-on experience with large language models such as Claude, OpenAI, and Llama.
  • Strong knowledge of retrieval-augmented generation architectures, embeddings, and vector search.
  • Experience building agentic workflows involving planning, tool use, and reasoning loops.
  • Experience with prompt engineering, few-shot techniques, and chain-of-thought techniques.
  • Strong experience with Databricks Lakehouse, PySpark, SQL, Delta Lake, Databricks workflows and jobs, and MLflow for experimentation and model tracking.
  • Experience with AWS Bedrock models, inference, and agents; AWS Agent Core or agent orchestration patterns; Lambda, API Gateway, S3, IAM, and security best practices for AI workloads.
  • Advanced Python skills and experience with APIs and microservices integration.
  • Experience with AI agents and workflow integration.

Responsibilities

  • Design and develop generative AI and agentic AI solutions using large language models for enterprise use cases.
  • Build retrieval-augmented generation pipelines leveraging structured and unstructured data, including documents, PDFs, logs, and metadata.
  • Implement AI agents and workflows using AWS Agent Core, Bedrock, and orchestration frameworks.
  • Develop generative AI applications on Databricks using notebooks, jobs, and scalable compute.
  • Integrate generative AI solutions with data lakes, lakehouses, and enterprise systems.
  • Optimize solutions for latency, accuracy, cost, and scalability.
  • Implement prompt engineering, prompt chaining, and guardrails.
  • Work with data engineers, architects, and business stakeholders to translate requirements into AI-driven solutions.
  • Contribute to AI governance, observability, and responsible AI practices.
  • Support deployment, monitoring, and continuous improvement of generative AI systems in production.
  • Act as a software detective by providing a dynamic service to identify and solve issues within multiple components of critical business systems.

Desired Qualifications

  • Experience with Unity Catalog.
  • Experience with LangChain, LangGraph, DSPy, or similar frameworks.
  • Experience with vector databases such as OpenSearch, FAISS, and Pinecone.
  • Exposure to LLMOps or MLOps.
  • Experience with CI/CD for AI applications.
  • Knowledge of AI governance, compliance, and security.
  • Experience working in client-facing or consulting environments.

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

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