AI/ML Architect Associate

Job Locations
IN-MH-Pune
Job area
IT & Digital
Employment type
Permanent
Workplace
Hybrid
ID
2026-53291

Overview

AI Architect - Associate

Responsibilities

AI Architect - Associate (8+ Years of Total Experience)

 

  • Proven Delivery: Lead the end-to-end lifecycle of complex AI projects, moving beyond prototypes to deliver robust, production-grade industrial solutions.
  • Advanced AI Orchestration: Architect sophisticated Agentic AI systems and advanced RAG pipelines, utilizing Knowledge Graphs for context-aware reasoning.
  • Model Optimization: Demonstrate deep expertise in Python and the fine-tuning of LLMs to tailor model performance for specific domain requirements.
  • Modern Full-Stack: Build high-performance, scalable backends using FastAPI and lead full-stack development to ensure seamless integration of AI features.
  • Technical Governance: Own the technical roadmap by delivering rigorous High-Level (HLD) and Low-Level Designs (LLD) that ensure system scalability.
  • Cloud Native: Design and deploy secure, resilient architectures on AWS, leveraging cloud-native services to support heavy AI workloads.
  • Domain Expertise: Apply your experience in PLM or Manufacturing to solve real-world industrial challenges at the intersection of digital and physical worlds.
  • Engineering Excellence: Drive best practices in CI/CD, code quality, and security, ensuring that AI solutions meet the highest enterprise standards.
  • Visionary Leadership: Act as a hands-on technical mentor, bridging the gap between cutting-edge AI research and practical, value-driven engineering.

Qualifications

  • Degree : B.Tech/B.E.

Essential skills

  • Must-have Skills : Artificial Intelligence, Architectural Design, Full Stack (for AI Integration), Agent, Python
  • Degree : B.Tech/B.E.
  • Branch : Scientific, Information Technology, Computers, Mechanical Engineering
     
    Requirements:

    AI Architect - Associate (8+ Years of Total Experience)

     

    • Proven Delivery: Lead the end-to-end lifecycle of complex AI projects, moving beyond prototypes to deliver robust, production-grade industrial solutions.
    • Advanced AI Orchestration: Architect sophisticated Agentic AI systems and advanced RAG pipelines, utilizing Knowledge Graphs for context-aware reasoning.
    • Model Optimization: Demonstrate deep expertise in Python and the fine-tuning of LLMs to tailor model performance for specific domain requirements.
    • Modern Full-Stack: Build high-performance, scalable backends using FastAPI and lead full-stack development to ensure seamless integration of AI features.
    • Technical Governance: Own the technical roadmap by delivering rigorous High-Level (HLD) and Low-Level Designs (LLD) that ensure system scalability.
    • Cloud Native: Design and deploy secure, resilient architectures on AWS, leveraging cloud-native services to support heavy AI workloads.
    • Domain Expertise: Apply your experience in PLM or Manufacturing to solve real-world industrial challenges at the intersection of digital and physical worlds.
    • Engineering Excellence: Drive best practices in CI/CD, code quality, and security, ensuring that AI solutions meet the highest enterprise standards.
    • Visionary Leadership: Act as a hands-on technical mentor, bridging the gap between cutting-edge AI research and practical, value-driven engineering.

Desired skills

  • Secondary Skills :
    PLM (Teamcenter, BMIDE, ITK, C, C++), AWS

Experience

Exp: 8.0 to 12.0 Year

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share to social media

Can't find the job of your choice?
Upload your C.V. / Resume here for our recruiters to view.