A

Accenture

Advises businesses and runs their technology

Senior Generative AI Developer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time$50 - $60 /hr

About the Job

Requirements

  • Minimum 10 years of information technology work experience.
  • Minimum 7 years of software development experience.
  • Minimum 3 years of hands-on experience with Python development, Generative AI, and Large Language Models.
  • An Associate's Degree.
  • Expert proficiency in Agentic Design.
  • Recommended expertise in Python development and Retrieval-Augmented Generation.
  • Suggested expert proficiency in Large Language Model fine-tuning and advanced proficiency in AI agents, prompt engineering, and vector databases.

Responsibilities

  • Develop applications and systems that use artificial intelligence tools and cloud artificial intelligence services, ensuring cloud or on-premises application pipelines are production-ready.
  • Apply generative artificial intelligence models in solutions, including deep learning, neural networks, chatbots, and image processing.
  • Collaborate with and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and solve problems within and across teams.
  • Design and develop Generative AI applications using FLARE platform capabilities.
  • Build conversational AI solutions using Large Language Models.
  • Develop AI-powered automation for document intelligence, commentary generation, validation workflows, and business insights.
  • Implement prompt engineering, prompt orchestration, and context management techniques.
  • Optimize AI applications for accuracy, performance, scalability, and cost efficiency.
  • Develop Retrieval-Augmented Generation solutions using enterprise knowledge repositories.
  • Implement document ingestion, chunking, metadata extraction, embedding generation, and retrieval pipelines.
  • Build and maintain knowledge bases supporting business-specific domains.
  • Develop semantic search and contextual information retrieval capabilities.
  • Improve response quality by tuning and evaluating retrieval mechanisms.
  • Design and implement multi-agent workflows using frameworks such as LangGraph and Model Context Protocol-based architectures.
  • Build intelligent agents capable of reasoning, tool selection, orchestration, and task execution.
  • Integrate agents with enterprise systems, databases, application programming interfaces, and business applications.
  • Develop reusable AI components and agent frameworks across FLARE use cases.
  • Develop integrations with Oracle databases, Starburst, S3 repositories, internal data services, and enterprise application programming interfaces.
  • Enable AI-driven analysis of structured and unstructured data sources.
  • Build secure pipelines for ingestion and retrieval of business data.
  • Develop microservices and application programming interfaces supporting FLARE capabilities.
  • Implement scalable containerized applications on OpenShift.
  • Build automated deployment pipelines and continuous integration and continuous delivery processes.
  • Improve platform reliability, observability, logging, and monitoring.
  • Collaborate with architects and platform engineers to enhance FLARE capabilities.
  • Develop testing frameworks for AI solutions.
  • Measure response quality using evaluation metrics and business validation criteria.
  • Support responsible AI practices, model governance, security, and compliance requirements.
  • Participate in AI risk reviews and production readiness assessments.
  • Work onsite with the client up to four days per week and fulfill five days away per quarter as required.

Desired Qualifications

  • Experience with Retrieval-Augmented Generation architectures, prompt engineering, embeddings and vector search, Agentic AI frameworks, LangChain or LangGraph, and enterprise AI platforms.
  • Banking and finance domain knowledge and experience are a strong advantage.
  • Good communication and leadership skills.

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