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NEXTMOVEFDE careers · United States
Accenture

Lead Python AI Engineer

AI summary of the role

Lead a team of AI engineers at Accenture Industry X, architecting and building production-grade GenAI and agentic systems for global clients.

What you’ll do

  • Provide technical leadership and mentorship to an AI engineering team, shaping architecture, best practices, and delivery standards.
  • Own the end-to-end development of AI-powered applications, including backend APIs, front-end integrations, and advanced GenAI workflows.
  • Design and build scalable, production-grade REST APIs in Python (FastAPI, Flask, Django) and integrate them with modern web interfaces (React, Next.js, Vue).
  • Architect LLM- and agent-based systems using frameworks such as LangChain, LlamaIndex, and Haystack, focusing on reliability, safety, and performance.

What you’ll bring

  • Expert-level backend development in Python
  • Hands-on experience with LLMs, vector databases, and AI orchestration frameworks
  • Ability to guide technical direction, mentor teammates, and uphold engineering excellence
  • Track record of designing scalable, reliable, production-ready AI systems

Technologies

Python · FastAPI · Flask · Django · React · Next.js · Vue · LangChain · LlamaIndex · Haystack · Pinecone · Weaviate

About Accenture

Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.

Public · 5000+ people

Source and classification

Production engineering · Evidence for this classification:

If you want to learn fast, build boldly, and work on some of the most innovative AI projects in the industry, this is your place to grow. How you will make an impact Key Responsibilities Provide technical leadership and mentorship to an AI engineering team, shaping architecture, best practices, and delivery standards. Own the end-to-end development of AI-powered applications, including backend APIs, front-end integrations, and advanced GenAI workflows. Design and build scalable, production-grade REST APIs in Python (FastAPI, Flask, Django) and integrate them with modern web interfaces (React, Next.js, Vue). Architect LLM- and agent-based systems using frameworks such as LangChain, LlamaIndex, and Haystack, focusing on reliability, safety, and performance. Develop and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Milvus) to support retrieval-augmented
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Employer postings · Data from · Sources