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Lead Assistant Manager - Lead Software Engineer
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Job Info
- Job Identification16669
- Posting Date07/07/2026, 12:58 PM
- Job RoleApplication Development-Applications Development Engineering
- Experience (In Years)3-6
- Job LocationChennai
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.
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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
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