Lead Assistant Manager - Lead Software Engineer

Lead Assistant Manager - Lead Software Engineer

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JOB INFO

Job Identification

16669

Posting Date

11/06/2026, 01:55 PM

Job Role

Application Development-Applications Development Engineering

Experience (In Years)

3-6

Job Location

Chennai

JOB DESCRIPTION

Candidate will be a part of the Advanced Analytics team within IMU - HLS and SGU – Domain Platforms contribute to analytics projects for Payers, Providers and Life Sciences organizations. Candidate is expected to amalgamate cutting-edge approaches with domain expertise to enhance client's business needs. Experience in managing delivery of complex analysis driven consulting type of projects or advanced analytics driven AI/ML projects will add value to the candidature.

Skilled AI Developer to design and deploy AI solutions using LLMs.

Build scalable gen AI applications involving cloud based databricks environment.

Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.

Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations

Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions

Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics

Intermediate to expert level of proficiency in coding with Python/R programming for data science

Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)

Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)

Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach

Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected

Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.

RESPONSIBILITIES

Skilled AI Developer to design and deploy AI solutions using LLMs.

Build scalable gen AI applications involving cloud based databricks environment.

Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.

Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations

Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions

Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics

Intermediate to expert level of proficiency in coding with Python/R programming for data science

Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)

Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)

Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach

Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected

Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.

QUALIFICATIONS

Bachelor's degree in engineering, MCA or a related field. 3-6 years of experience in application development.

Skilled AI Developer to design and deploy AI solutions using LLMs. Build scalable gen AI applications involving cloud based databricks environment. Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.

REQUIRED SKILLS

AI Developer Productivity Tools: GitHub Copilot, Claude Code, Cursor

Application Development

REST APIs, Streamlit or React, application integration

Cloud & Platforms

Hands-on experience with AWS/Azure/GCP, Databricks deployment and model serving

Data Engineering

Data ingestion, ETL/ELT pipelines, structured/unstructured data processing, Delta Lake fundamentals

Generative AI & LLMs: LangChain/LangGraph, RAG, Prompt Engineering, Context Engineering, Agentic AI, Function Calling, Vector Databases (ChromaDB, FAISS)

MLOps/LLMOps

Git, CI/CD pipelines, Docker, MLflow, model deployment and monitoring

Programming

Python, PySpark, SQL, Pandas, FastAPI

Strong problem-solving and solution architecture skills