Agentic AI Solution Architect - Yamunanagar - Han Digital Solution

    Han Digital Solution
    Han Digital Solution Yamunanagar

    4 days ago

    Full time ₹1,500,000 - ₹4,000,000 (INR) per year * Healthcare
    Description

    Key Responsibilities

    Generative AI, SLM & Agentic AI Architecture

    • Lead end-to-end design and deployment of LLM & SLM-based systems integrated with Agentic AI workflows for autonomous reasoning and decision-making.
    • Select and fine-tune SLMs for domain-specific tasks such as predictive analytics, workflow automation, and operational assistance.
    • Architect multi-agent systems with SLMs as specialized reasoning components.
    • Ensure architectures meet industrial constraints including compute limits, security, redundancy, and real-time responsiveness.

    Industrial AI/ML & Data Engineering

    • Design and implement scalable AI/ML workflows for structured and unstructured data from IoT devices, sensors, time-series databases, and vision systems.
    • Build data ingestion, transformation, and feature store pipelines optimized for generative AI training and inference.
    • Integrate edge inference with centralized LLM services for decision support.
    • Enable continuous learning pipelines with domain-specific retraining and fine-tuning.

    Agentic AI & Multi-Agent Systems Development

    • Deploy multi-agent solutions using: NVIDIA NIM/NeMo, AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI, LangChain, Semantic Kernel, Haystack, Ray Serve.
    • Implement SLM-powered agents for industrial diagnostics, documentation Q&A, safety monitoring, and autonomous alert resolution.

    Platform & Ecosystem Expertise

    • Deploy solutions across cloud and edge: NVIDIA (NeMo, CUDA, TensorRT, TAO Toolkit), AWS (SageMaker, IoT Greengrass), Azure (OpenAI, IoT Edge), GCP (Vertex AI, AI Edge).
    • Optimize SLMs for edge responsiveness, efficiency, and compliance in industrial environments.

    Leadership, Collaboration & Governance

    • Collaborate with AI researchers, data engineers, industrial automation engineers, and domain SMEs to align AI solutions with operational KPIs.
    • Promote responsible AI governance: auditability, explainability, bias mitigation, and regulatory compliance.
    • Translate complex AI architectures into actionable implementation roadmaps and ROI-focused business cases.
    * This salary range is an estimation made by beBee
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