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Manager - BIM

Manager - BIM

Axtria

8 - 13 years

13 - 18 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

bim kubernetes react bitbucket microservices docker bi tools data science architecture azure s3 snowflake python github data analytics ai aws sagemaker databricks llm compliance azure ml full stack gitlab flask aws ai model

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Summary

Highly skilled GenAI Application Leads with 8 to 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
Define solution blueprints combining LLMs, Retrieval-Augmented Generation
(RAG),
Knowledge Graphs for
structured and unstructured data sources.
Translate business requirements 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
.

Gen AI Application Development & Engineering

Lead full-stack design and development using Python
(
FastAPI
, Flask) and
React
/Next.js for GenAI-powered frontends.
Build microservices or API layers
that expose AI functionalities securely across teams and systems.
Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes).
Design and develop 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.)
Use
knowledge graphs and metadata-driven approaches
to enhance contextual reasoning and data discovery
Deploy AI workloads using
Azure OpenAI,
AWS Sagemaker, Bedrock, or
Snowflake Cortex AI Services
.

AI Model Integration & Fine-tuning

Lead 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

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.
Contribute to Gen AI use case roadmaps, thought leadership relevant to GenAI in Life Sciences.

Education

BE/B.Tech

Master of Computer Application

Work Experience

Highly skilled GenAI Application Leads with 8 to 15 years of total experience

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Project Management

Capability Building / Thought Leadership

AIML

Python

React

Azure ML Studio

AWS CodeBuild

ML Data Science

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