Senior AI Developer

NTT DATA, Inc.; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Morgan Stanley in Bangalore, India seeks a Senior AI Developer to design, develop, and deploy scalable AI/ML and Generative AI applications, leveraging LLMs such as GPT, Claude, and Llama to build enterprise-grade solutions.

You will develop RAG architectures, create APIs and microservices, implement AI agents and automation, ensure security and governance, mentor junior engineers, and collaborate with product owners, data engineers, and architects in a fast-paced, globally distributed team.

Qualifications

• 8+ years of software development experience.
• 3+ years hands-on AI/ML or Generative AI development experience.
• Experience delivering production-grade AI solutions at enterprise scale.
• Strong understanding of software engineering best practices, design patterns, and system architecture.
• Experience working in Agile/Scrum environments.

Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI applications.
• Build enterprise-grade solutions leveraging LLMs such as GPT, Claude, Llama, and other foundation models.
• Develop and optimize RAG architectures using vector databases and enterprise knowledge sources.
• Design and implement AI agents and workflow automation solutions.
• Integrate AI capabilities into existing applications and business processes.
• Build APIs and microservices for AI model consumption and inferencing.
• Develop prompt engineering strategies and evaluate model performance.
• Fine-tune and optimize foundation models where required.
• Ensure AI solutions comply with security, governance, privacy, and regulatory requirements.
• Collaborate with product owners, business analysts, architects, and data engineers.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Mentor junior engineers and contribute to AI best practices across the organization.
• Stay current with emerging AI technologies and industry trends.

Skills

AI / ML

NLP

Generative AI

RAG Architectures

Prompt Engineering

Model Evaluation

Python

APIs & Microservices

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

LangChain

Hugging Face

OpenAI / Azure OpenAI

Vector databases

Kafka

Docker

Kubernetes

Job description

Job Description: Senior AI Developer

Client: Morgan Stanley

Location: Bangalore, India

Key Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI applications.
• Build enterprise-grade solutions leveraging LLMs such as GPT, Claude, Llama, and other foundation models.
• Develop and optimize RAG architectures using vector databases and enterprise knowledge sources.
• Design and implement AI agents and workflow automation solutions.
• Integrate AI capabilities into existing applications and business processes.
• Build APIs and microservices for AI model consumption and inferencing.
• Develop prompt engineering strategies and evaluate model performance.
• Fine-tune and optimize foundation models where required.
• Ensure AI solutions comply with security, governance, privacy, and regulatory requirements.
• Collaborate with product owners, business analysts, architects, and data engineers.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Mentor junior engineers and contribute to AI best practices across the organization.
• Stay current with emerging AI technologies and industry trends.

Required Technical Skills

• AI / Machine Learning
• Strong experience in Machine Learning, Deep Learning, and NLP.
• Hands-on experience with Generative AI and Large Language Models.
• Experience implementing RAG solutions.
• Knowledge of Agentic AI frameworks and autonomous workflows.
• Prompt Engineering expertise.
• Model evaluation, observability, and monitoring.

Programming

• Strong proficiency in Python.
• Experience with Java/Spring Boot is preferred.
• Experience developing REST APIs and microservices.

AI Frameworks & Tools

• LangChain
• LangGraph
• LlamaIndex
• Hugging Face
• OpenAI / Azure OpenAI
• Vector databases (Pinecone, Weaviate, ChromaDB, Azure AI Search)

Data & Engineering

• SQL and NoSQL databases
• Data pipelines and ETL processes
• Apache Kafka or event-driven architectures
• CI/CD pipelines and DevOps practices

Cloud Platforms

• Azure (preferred)
• AWS or GCP
• Kubernetes and Docker

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline.
• 8+ years of software development experience.
• 3+ years of hands-on AI/ML or Generative AI development experience.
• Experience delivering production-grade AI solutions at enterprise scale.
• Strong understanding of software engineering best practices, design patterns, and system architecture.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience in Banking, Financial Services, or Capital Markets.
• Knowledge of Responsible AI principles and AI governance frameworks.
• Experience building Copilot-style assistants and conversational AI platforms.
• Azure AI Engineer, AWS ML, or equivalent certifications.
• Knowledge of MLOps and model lifecycle management.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work effectively within globally distributed teams.
• Self-driven with a passion for innovation and continuous learning.
• Proven mentoring and technical leadership capabilities.

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