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Accenture

Advises businesses and runs their technology

AI Consultant - Enterprise AI Value Strategy

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related discipline, with an excellent academic record.
  • Four to seven years of progressive experience in artificial intelligence, machine learning, or data science; consulting or enterprise delivery experience is preferred.
  • Expert proficiency in Python and SQL, with demonstrated ability to build and ship production-grade AI solutions.
  • A proven track record implementing Generative AI use cases, including retrieval-augmented generation, large language model fine-tuning, prompt engineering, or multimodal applications.
  • Hands-on experience with agentic AI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph.
  • Experience with at least one cloud platform—AWS, Azure, or GCP—for AI/ML model deployment, orchestration, and monitoring.
  • Practical exposure to FastAPI, GCP Vertex AI, and/or Databricks in end-to-end solution development.
  • Ability to structure narratives, build business cases, and deliver compelling demos for clients.
  • Ability to independently structure problems, identify suitable AI use cases, and drive solutions from design to deployment.
  • Hands-on solution-building experience in at least one of marketing, sales, commerce, service, or design and digital products.

Responsibilities

  • Take end-to-end ownership of AI solution development, focusing on Generative AI and Agentic AI to drive technical delivery and client impact.
  • Design and implement agentic AI systems using multi-agent frameworks, orchestrating specialized agents such as retrievers, planners, insight generators, and executors to deliver scalable client solutions.
  • Build and deploy Generative AI applications, including large language model pipelines, retrieval-augmented generation systems, prompt engineering frameworks, and fine-tuned models for domain-specific use cases.
  • Define and manage data, knowledge, and context pipelines that support agent reasoning, memory, and action.
  • Architect orchestration pipelines coordinating agents across complex, multi-step workflows with appropriate monitoring and fallback mechanisms.
  • Use cloud platforms such as AWS, Azure, and GCP for scalable AI deployment, lifecycle management, and operational monitoring.
  • Use tools such as FastAPI, GCP Vertex AI, and Databricks for modular API development, model deployment, and large-scale data workflows.
  • Collaborate with cross-functional teams and client stakeholders to integrate AI solutions into business processes and ensure deployment readiness.
  • Evaluate and continuously improve system performance across accuracy, reliability, automation rate, and business key performance indicators.
  • Translate AI capabilities into client-ready presentations, demos, and playbooks that articulate business value.
  • Mentor junior Analysts on technical implementation, consulting norms, and professional development.
  • Contribute to internal accelerators, intellectual property assets, and knowledge-sharing initiatives.

Desired Qualifications

  • Experience building AI solutions in marketing (acquisition, next-best-action, or content), commerce, service, or digital product contexts.
  • Exposure to AI governance, responsible AI principles, or model monitoring frameworks.
  • Consulting or client-delivery experience using structured problem-solving frameworks.
  • Rapid prototyping skills and comfort with ambiguity in early-stage client engagements.

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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