Systems Integration Specialist Advisor

Job Description: Senior AI Developer
Client: Morgan Stanley
Location: Bangalore, IndiaRole: 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.
•    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.