Senior AI Engineer - Vice President

Responsibilities

• Lead AI agent development, architecture, and deployment using GenAI platforms, microservices, advanced NLP/NLU, and intelligent bot interactions, leveraging script tools.
• Architect and build autonomous AI systems for problem-solving and decision-making, ensuring seamless and secure integration with enterprise systems via robust APIs.
• Implement secure, scalable data storage for conversational AI using diverse databases (MongoDB, SQL, NoSQL), adhering to data governance policies.
• Develop highly resilient systems with advanced error handling, fault tolerance, and intelligent routing.
• Drive GenAI thought leadership, integrating emerging platforms (Gemini, Claude, GPT) and research, while staying current with the latest technologies and trends.
• Deliver end-to-end Agentic AI solutions, focusing on Python backend services (FastAPI, asyncio), secure REST APIs, and robust data pipelines, applying fundamental programming principles.
• Optimize AI agent performance, latency, and cost through profiling, caching strategies, and distributed system optimization.
• Establish CI/CD practices for automated testing, agent evaluation, cloud-native deployment, and ensure code quality through reviews and peer programming.
• Collaborate extensively with cross-functional teams and stakeholders to gather requirements, brainstorm solutions, deliver high-quality software, and consult on technical issues.
• Analyze applications for vulnerabilities, conduct thorough testing, debugging, and effectively troubleshoot software issues.
• Mentor and coach engineering teams, act as a Subject Matter Expert (SME), and contribute to continuous learning initiatives.
• Assess and manage risks in business decisions, safeguarding the firm's reputation, ensuring compliance with regulations, and transparently escalating control issues.

Qualifications

• Extensive hands-on experience with GenAI concepts, Large Language Models (LLMs), transformer architectures, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Google ADK).
• Expert Python proficiency for AI/ML development, data engineering, and backend services; deep understanding of software design patterns, data structures, and algorithms.
• Hands-on experience with AI Development Tools such as Claude Code, Devin AI, Cursor, Copilot etc.
• Proficient with containers and orchestration technologies, specifically OpenShift, and proven ability to architect and deploy high-performance, large-scale AI/ML systems to production.
• Extensive experience architecting and developing virtual assistants, chatbots, and conversational AI platforms.
• Experience in front-end development with React/AngularJS and experience with technologies like Java, Spring Boot, SQL Queries is a plus.
• Experience with distributed systems, event-driven architectures, container-based microservices, distributed logs, and NoSQL databases.
• Expert understanding of advanced NLP/NLU, Machine Learning, and Generative AI techniques, coupled with demonstrated experience in complex API integrations and enterprise system connectivity.
• Exceptional problem-solving, analytical, and communication skills, with the ability to lead, mentor cross-functional teams, and contribute to open-source GenAI/NLP projects.

Education

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Additional Information

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.