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.