AI/ML Engineer

Job Description
AI/ML Engineer – Generative AI & Agentic AI
Client: Vanguard
Business Unit: BFSI-Americas | CMNE
Job Location: Indore, Pune, Hyderabad
Experience: 6 to 10 Years
Notice Period: Immediate Joiners / 30 / 60Days
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

Work arrangement
No