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Accenture

Posted 25 Sep 2026

AI / ML & Agentic AI Engineer

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Employment
Full time
Team
Software Engineering
Posted
25 Sep 2026

About the role

We are looking for experienced AI/ML and Agentic AI Engineers with strong hands-on expertise in Python, Agentic AI, and AI/ML engineering. The role involves designing, developing, integrating, and deploying AI-powered solutions across enterprise platforms.


Responsibilities:

  • Design and develop Agentic AI and LLM-based solutions using Python.
  • Build AI agents, workflows, and intelligent automation solutions.
  • Develop and integrate APIs and enterprise applications.
  • Work on RAG (Retrieval-Augmented Generation) pipelines and prompt engineering.
  • Develop and deploy AI/ML solutions using cloud-native technologies.
  • Implement CI/CD pipelines and DevOps practices for AI applications.
  • Perform testing, monitoring, and troubleshooting of AI/ML applications.
  • Implement observability and monitoring for AI systems and enterprise platforms.
  • Ensure AI solutions meet security, reliability, and responsible AI requirements.
  • Work on enterprise platform connectivity and system integration.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.


Requirements:

  • Strong hands-on experience in Python.
  • Hands-on experience in AI/ML engineering.
  • Strong knowledge of Agentic AI / AI Agents.
  • Experience with LLM applications and prompt engineering.
  • Experience with RAG and AI application development.
  • Strong understanding of APIs and system integration.
  • Experience with cloud-native application deployment.
  • Primary Focus Areas: Agentic AI, LLM, Prompt Engineering, RAG, Python Engineering, APIs, Cloud-Native Deployment, CI/CD, System Integration, Testing, Observability, Responsible AI.
  • Ideal Candidate: A hands-on AI/ML engineer with 5-12 years of experience who has practical expertise in Python and modern Agentic AI/LLM technologies, along with experience integrating and deploying AI solutions in enterprise environments.


Supporting Skills:

  • Cloud technologies
  • DevOps and CI/CD
  • Software testing
  • Observability and monitoring
  • Security
  • Responsible AI
  • Enterprise platform integration/connectivity

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