Senior GenAI Engineer - Onsite 4 Days/Week

Accenture PLC

Irving (TX)

Hybrid

USD 69,000 - 83,000

Full time

9 days ago

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Benefits offered by this job

Medical benefits
401(k) plan
Paid time off

Job summary

Accenture Flex is seeking an AI/ML Engineer to design and develop GenAI solutions, leveraging FLARE platform capabilities and enterprise AI tools. You will lead the creation of AI-powered pipelines, RAG capabilities, and agent-based workflows across multiple teams and client environments.

You will collaborate with architects and platform engineers to enhance FLARE capabilities, ensure production-ready quality, and optimize performance, cost, and security in hybrid on-site settings with client

Qualifications

  • Minimum 10 years of IT work experience.
  • Minimum 7 years of software development experience.
  • Minimum 3 years hands-on Python development, Generative AI and LLMs experience.
  • Associate's Degree.

Responsibilities

  • Develop GenAI applications leveraging FLARE platform capabilities.
  • Build conversational AI solutions using LLMs.
  • Develop AI-powered automation for document intelligence, commentary generation, validation workflows, and business insights.
  • Design and implement multi-agent workflows using LangGraph and MCP-based architectures.
  • Develop reusable AI components and agent frameworks across FLARE use cases.

Skills

Python development
Generative AI
LLMs
Agentic AI
Prompt engineering
LangGraph/LangChain
Vector databases

Education

Associate's Degree

Tools

Oracle databases
Starburst
S3 repositories
OpenShift
Enterprise APIs

Job description

Accenture Flex is seeking an AI/ML Engineer to design and develop GenAI solutions, leveraging FLARE platform capabilities and enterprise AI tools. You will lead the creation of AI-powered pipelines, RAG capabilities, and agent-based workflows across multiple teams and client environments.

You will collaborate with architects and platform engineers to enhance FLARE capabilities, ensure production-ready quality, and optimize performance, cost, and security in hybrid on-site settings with client

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