Senior AI Engineer - Vice President

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead AI application development. **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**. **Recommended 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 :** - **10+ years of software development experience**, with strong experience delivering **Python and GenAI products**. - Proven expertise in **LLMs**, **fine-tuning methods**, building **RAG systems (hybrid search, multi-vector retrieval)**, and practical knowledge of **model optimization (compression, quantization)** with tools like **DeepSpeed, vLLM, GPTQ**. - Extensive experience with **containerization (Docker)**, **orchestration (Kubernetes)**, **CI/CD pipelines** for APIs and ML models, and **MLOps practices** in agile development environments. - Experience with **distributed systems**, **event-driven architectures**, **container-based microservices**, **distribu…