Sys. Integration Sr. Specialist Advisor

Job Description: 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.
. 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.