Lead Machine Learning Engineer/ Ai Systems Architect

Accenture

Not specified; not specified; performance-based re...
Proficiency in python for ai development
Experience with large language models (llms)
Knowledge of rag pipelines and prompt engineering
The role involves bridging the gap between AI model capabilities and real-world integration by designing production-ready applications

Job Summary

  • The role involves bridging the gap between AI model capabilities and real-world integration by designing production-ready applications.
  • Candidates will orchestrate LLMs, agents, data systems, and scalable infrastructure into intelligent solutions using modern cloud environments.
  • 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 designing production-ready applications.

Salary

Not specified; Not specified; Performance-based rewards mentioned

Skills & Requirements

Must-have

  • Proficiency in Python for AI development
  • Experience with Large Language Models (LLMs)
  • Knowledge of RAG pipelines and prompt engineering
  • Cloud infrastructure deployment experience
  • Familiarity with containerization and orchestration

Nice-to-have

  • Experience with multi-agent system design
  • Understanding of infrastructure-as-code tools
  • Background in CI/CD pipelines for AI
  • Exposure to monitoring frameworks like Prometheus

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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