Director - BIM

15 - 20 years

30 - 35 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position Summary

Highly skilled GenAI Application Leader with 15+ years of total experience

This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making.


Job Responsibilities

Solution Architecture & Design

  • Lead the

    end-to-end architecture and design

    of Generative AI applications
  • Drive solution and architecture discussions with client teams using LLMs, Retrieval-Augmented Generation

    (RAG),

    Knowledge Graphs for

    structured and unstructured data sources.

  • Understand business requirements and guide team to build the same into

    modular AI workflows

    , ensuring scalability, security, and performance.
  • Evaluate and recommend

    GenAI frameworks/tools (LangChain, LangGraph, Semantic Kernel, etc.)

  • Collaborate with data engineers and pharma domain experts to design semantic data models and

    context-aware knowledge base

    .

Leading Gen AI Application Development & Engineering Teams

  • Drive full-stack design and development using Python

    (

    FastAPI

    , Flask) and

    React

    /Next.js for GenAI-powered frontends.
  • Drive teams building microservices or API layers

    that expose AI functionalities securely across teams and systems.
  • Design user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI
  • Work with data engineering and analytics teams to

    connect GenAI apps to existing data ecosystems

    (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.)
  • Drive usage of

    knowledge graphs and metadata-driven approaches

    to enhance contextual reasoning and data discovery

AI Model Integration & Fine-tuning

  • Drive the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications.
  • Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data).
  • Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.).
  • Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance.
  • Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection.

Leadership & Collaboration

  • Drive Gen AI use cases which are relevant to BIM practice (focused on data management and analytics)
  • Drive adoption of Gen AI use cases across BIM practice to drive speed and efficiency gains
  • Lead a cross-functional GenAI development team of engineers, business analysts, data scientists, and UI developers.
  • Stay ahead of the curve with emerging LLM architectures, multi-agent systems, and reasoning frameworks to provide technical guidance to the teams.
  • Drive

    knowledge-sharing sessions and PoCs

    to evangelize Generative AI adoption

    across the organization.

Education
BE/B.Tech
Master of Computer Application

Work Experience

Highly skilled GenAI Application Leader with 15+ years of total experience

This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making.


Behavioural Competencies
Attention to P&L Impact
Teamwork & Leadership
Lifescience Knowledge
Cultural Fit
Problem solving
Talent Management
Capability Building / Thought Leadership
Delivery Management- BIM/ Cloud Info Management

Technical Competencies
AWS CodeBuild
ML Data Science
AIML
Databricks
Snowflake
Azure ML Studio
ML Ops
ML engineering
React
Python

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Software Development

Berkeley Heights NJ

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