Senior AI Engineer / Data Scientist (Agentic AI)

Experience: 8+ Years

Location: Office

Employment Type: Full-Time / Consultant

Role Overview

We are seeking a highly skilled Senior AI Engineer / Data Scientist with 8+ years of experience in building enterprise-scale AI, Machine Learning, Data Science, and Generative AI solutions. The ideal candidate should possess strong expertise in designing and implementing Agentic AI systems, multi-agent architectures, LLM orchestration frameworks, RAG pipelines, and AI-driven automation solutions.

This role requires a mix of Data Science, AI Engineering, MLOps, Cloud Engineering, and Software Development skills to develop next-generation autonomous AI platforms that deliver measurable business outcomes. Key Responsibilities

Agentic AI & Generative AI

Design and develop Agentic AI solutions using autonomous and multi-agent frameworks.

Build AI agents capable of reasoning, planning, tool usage, memory management, and workflow orchestration.

Implement multi-agent systems for enterprise workflows, analytics, customer service, and decision intelligence.

Develop AI copilots, virtual assistants, and autonomous business agents.

Design AI orchestration architectures using:

LangGraph

LangChain

AutoGen

CrewAI

OpenAI Agent Framework

Microsoft Copilot Studio

Large Language Models (LLMs)

Fine-tune and optimize LLMs for enterprise use cases.

Implement prompt engineering, prompt tuning, and evaluation frameworks.

Develop RAG (Retrieval Augmented Generation) architectures.

Build semantic search and knowledge retrieval solutions.

Integrate vector databases such as:





Azure AI Search

Milvus Data Science & Machine Learning

Develop predictive and prescriptive analytics models.

Build recommendation systems and forecasting solutions.

Apply advanced statistical analysis and machine learning techniques.

Design feature engineering pipelines and model optimization strategies.

Build and deploy models using:

Scikit-Learn

XGBoost

TensorFlow

PyTorch

Hugging Face AI Engineering Responsibilities

Develop scalable AI services and APIs.

Build enterprise-grade AI microservices.

Create reusable AI accelerators and frameworks.

Design AI governance and observability frameworks.

Implement AI monitoring and model performance tracking.

Develop AI safety, guardrails, and responsible AI controls. Cloud & Platform Engineering

Azure (Preferred)

Azure OpenAI

Azure AI Search

Azure Machine Learning

Other Cloud Platforms

AWS Bedrock

Amazon SageMaker

Google Vertex AI Software Development Skills

Solid hands-on programming expertise in:

Python (Mandatory)

SQL

REST APIs

GraphQL

Experience with

FastAPI

Microservices Architecture

Event-Driven Architecture Required Qualifications

Education

Bachelor's or Master's degree in:

Computer Science

Data Science





Artificial Intelligence

Machine Learning

Engineering

Related Discipline

Experience

8+ years in Data Science, Machine Learning, AI Engineering, or Software Engineering.

3+ years of hands-on experience with Generative AI and LLMs.

2+ years of hands-on experience implementing Agentic AI solutions.

Experience delivering enterprise-scale AI platforms.

Required Technical

Skills

Must Have

✅ Agentic AI Frameworks

✅ Generative AI & LLMs

✅ RAG Architecture

✅ Vector Databases

✅ Python Development

✅ Machine Learning & Data Science

✅ Azure AI Services

✅ MLOps & CI/CD

✅ REST APIs

✅ Cloud Architecture

Good to Have

✅ Semantic Kernel

✅ Microsoft Fabric

✅ Databricks

✅ Knowledge Graphs

✅ GraphRAG

✅ Multi-Agent Systems

✅ AI Governance Frameworks

✅ Copilot Studio Preferred Certifications

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure Data Scientist Associate

Databricks Certified Data Engineer

AWS Machine Learning Specialty

Generative AI Certifications (Microsoft/OpenAI) Success Metrics

Successful deployment of enterprise AI agents.

Reduction in manual effort through AI automation.

Increased model accuracy and business adoption.

AI platform scalability, performance, and governance compliance.

Delivery of measurable business value from Agentic AI initiatives.

Target

Titles

Senior AI Engineer

Lead AI Engineer

Staff AI Engineer

Principal AI Engineer

Senior Data Scientist (Agentic AI)

AI Solutions Architect

📌 Senior AI Engineer / Data Scientist (Agentic AI) (Chennai)
🏢 SRM Technologies
📍 Chennai