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    Home/Jobs/PLM AI System Architect

    PLM AI System Architect

    Siemens

    Gurugram / Pune
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Agentic AI
    Gen AI
    Digital Twin
    BOM
    CAD
    CAM
    MCP
    Model Context Protocol
    APIs
    Microservices
    Cloud-native
    AI frameworks

    Description

    Siemens Energy is seeking a PLM AI System Architect to lead digital transformation across the Product Lifecycle Management ecosystem. The role combines engineering domain knowledge with Generative AI to build scalable, enterprise-grade AI capabilities.

    Company: Siemens Energy Industrial Turbomachinery India Private Limited

    Role: PLM AI System Architect

    Location: India | Haryana | Gurgaon | Maharashtra | Pune

    Experience:

    • 7+ years of total experience
    • 3 years of relevant Artificial Intelligence experience
    • Basic understanding of PLM (Product Lifecycle Management)
    • Proven expertise in Agentic AI frameworks, RAG architectures, and tool-calling patterns
    • Strong grasp of grounding strategies to mitigate hallucination risks in technical environments
    • Experience building AI integration layers such as MCP servers
    • Experience managing APIs and microservices
    • Experience deploying AI services in cloud-native environments
    • Ability to communicate complex technical architecture as actionable business value for senior leadership
    • Quantifiable reduction in cycle time and manual effort through AI automation
    • High accuracy and trust scores for AI-generated engineering outputs
    • Successful deployment of reusable AI architectural patterns across the enterprise

    Responsibilities:

    • Lead digital transformation of the PLM ecosystem
    • Design, implement, and scale agentic AI capabilities for PLM workflows
    • Bridge PLM platforms, engineering stakeholders, and enterprise AI architecture
    • Drive AI adoption across the product lifecycle from requirements to EBOM and MBOM management
    • Enable digital twin use cases
    • Design and orchestrate multi-agent systems for reasoning over complex PLM data
    • Automate classification and change impact analysis
    • Architect RAG pipelines for engineering-grade accuracy
    • Build retrieval systems for structured PLM data and unstructured technical content
    • Lead development of MCP servers and secure integration layers for enterprise AI agents
    • Define the AI maturity roadmap
    • Ensure deployments meet enterprise standards for privacy, IP protection, and cost governance

    More skills:

    Product Lifecycle Management, multi-agent systems, requirements management, EBOM, MBOM, change impact analysis, structured PLM data, unstructured technical documentation, enterprise AI architecture, data privacy, IP protection, cost governance, cloud-native environments

    Other:

    • Job ID 295013
    • Organization: EVP Global Functions
    • Business Unit: Digital Core
    • Full-time
    • Experience level: Professional / Experienced
    • Siemens Energy supports the transition to a more sustainable world
    • Company operates across 90+ countries
    • More than 92,000 dedicated employees
    • Global reach includes electricity for over 16% of the global community
    • Commitment to decarbonization, new technologies, and energy transformation
    • Strong focus on diversity and inclusion
    • Over 130 nationalities represented in the global team

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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