Lead Machine Learning Engineer/ Ai Systems Architect

Accenture Industry X

Not specified; not specified; not specified
Proficiency in python for ai development
Experience with large language models (llms)
Knowledge of retrieval-augmented generation (rag)
The role involves bridging the gap between AI model capabilities and real-world integration by orchestrating LLMs, agents, and data systems

Job Summary

  • The role involves bridging the gap between AI model capabilities and real-world integration by orchestrating LLMs, agents, and data systems.
  • Candidates will design and deploy scalable Generative AI and Agentic AI solutions in modern cloud environments like Azure, GCP, or AWS.
  • Accenture offers comprehensive health insurance, diverse learning paths, and flexible benefits to support employee well-being and growth.

Matching Summary

The role involves bridging the gap between AI model capabilities and real-world integration by orchestrating LLMs, agents, and data systems.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Proficiency in Python for AI development
  • Experience with Large Language Models (LLMs)
  • Knowledge of Retrieval-Augmented Generation (RAG)
  • Familiarity with SQL and NoSQL databases
  • Experience with Docker and Kubernetes
  • Understanding of CI/CD pipelines

Nice-to-have

  • Experience with LangChain or AutoGen frameworks
  • Knowledge of Terraform or CloudFormation
  • Background in prompt engineering techniques
  • Exposure to Prometheus and Grafana monitoring
  • Ability to design multi-agent systems

Key Requirements

  • Senior engineer level experience required
  • Strong foundation in software development
  • Individual working contract (CIM) collaboration only

Work Rights

Not specified

Tailored Resume

Cover Letter