: Senior AI Developer

Client: Morgan Stanley

Location: Bangalore, India

Role: Senior AI Developer

Experience: 8-12 Years

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.

. Solid 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.

📌 Sys. Integration Sr. Specialist Advisor (Bengaluru)
🏢 NTT Data
📍 Bengaluru