Career Opportunities: Associate- BIM (10832)

Requisition ID 10832 - Posted  - Bangalore, Block C2 (Floor 4), Brigade Tech Gardens

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Position Summary

Highly skilled GenAI Application Leads with 5 to 9 years of total experience who has worked on  development and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus.

Job Responsibilities

     1.Gen AI Application Development & Engineering

• 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).
• 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.

2. 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).
• Support the design of  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.

3. Collaboration

• 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 Leads with 5 to 9 years of total experience who has worked on  development and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus.

Behavioural Competencies

Ownership

Teamwork & Leadership

Cultural Fit

Motivation to Learn and Grow

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Amazon SageMaker

Amazon Redshift

Jupyter Notebook

Python

SQL

React

Skills

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