AI/ML Engineer Generative AI & Agentic AI

Job Description

Client: Vanguard

Business Unit: BFSI-Americas | CMNE

Job Location: Indore, Pune, Hyderabad

Experience: 6 to 10 Years

Notice Period: Immediate Joiners / 30 / 60 / 90 Days

Role Overview

We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI, Agentic AI, and AWS Cloud Technologies to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will have hands-on experience building intelligent applications using Amazon Bedrock, Amazon SageMaker, AWS Lambda, LangChain, and LangGraph, with a deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent orchestration frameworks.

This role offers an exciting opportunity to work on cutting-edge AI initiatives within a leading global financial services organization, driving innovation through scalable and secure AI-powered solutions.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions on AWS cloud platforms.
• Build intelligent Agentic AI systems using LangChain, LangGraph, and multi-agent orchestration frameworks.
• Develop and optimize LLM-powered applications leveraging foundation models through Amazon Bedrock.
• Implement advanced AI capabilities including Prompt Engineering, RAG, Vector Search, Knowledge Retrieval, and Model Evaluation.
• Integrate AI solutions with enterprise applications, APIs, and cloud-native architectures.
• Design and implement secure, reliable, and highly scalable AI services using AWS services such as SageMaker, Lambda, S3, and related technologies.
• Collaborate with business stakeholders, architects, and development teams to translate business needs into AI-driven solutions.
• Conduct model testing, evaluation, monitoring, and performance optimization to ensure production readiness.
• Follow AI governance, security, compliance, and Responsible AI best practices.
• Stay updated with emerging AI trends, frameworks, and cloud innovations to drive continuous improvement.

Mandatory Skills

• Strong experience in Generative AI and Agentic AI Development
• Expertise in Amazon Bedrock
• Hands-on experience with Amazon SageMaker
• Strong knowledge of AWS Lambda
• Experience with LangChain
• Experience with LangGraph
• Proficiency in Python Programming
• Sound understanding of Large Language Models (LLMs)
• Expertise in Prompt Engineering
• Experience in RAG (Retrieval-Augmented Generation) Architectures
• Exposure to AI model deployment and monitoring on AWS

Desired Skills

• Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, or OpenSearch
• MLOps/LLMOps implementation experience
• Knowledge of Multi-Agent Systems and AI Orchestration
• Experience in API integrations and microservices architecture
• Familiarity with DevOps, CI/CD Pipelines, Docker, and Kubernetes
• Exposure to BFSI domain projects is preferred

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.

Preferred Certifications

• AWS Certified Machine Learning Specialty
• AWS Certified Solutions Architect
• AWS Certified AI Practitioner
• Generative AI / LLM Certifications