GEN AI Engineer

About the Role

We are seeking a highly skilled and experienced Onsite Agentic Gen AI Engineer to join our innovative team at a leading stock market index company. This is a critical leadership role that combines deep technical expertise in Agentic AI with strong communication and stakeholder management skills. You will be instrumental in designing, deploying, and overseeing cutting-edge AI solutions, bridging the gap between business requirements and technical implementation.

This position requires a part-time onsite presence a couple of days a week near Wall Street, New York, to facilitate essential relationship building and stakeholder management. You will serve as a key liaison with our AI team in India, translating executive and stakeholder needs into clear, actionable technical requirements. We are looking for a proactive individual who can identify and navigate opportunities for growth and innovation within this account.

Responsibilities

As the Onsite Agentic AI Lead, you will:

• Lead the hands-on development and deployment of Agentic AI solutions using frameworks such as LangGraph, AutoGen, and CrewAI.
• Utilize Python extensively for core language development, API integration, and advanced prompt design.
• Work with Large Language Models (LLMs), focusing on tool/function calling capabilities.
• Design and implement Retrieval Augmented Generation (RAG) pipelines and integrate with various knowledge bases.
• Develop and optimize agent workflows and reusable templates for efficient AI system creation.
• Implement and manage vector databases (e.g., FAISS, Chroma, Pinecone) for efficient data retrieval.
• Set up and maintain observability stacks, including logging and drift/bias monitoring, to ensure the health and performance of AI systems.
• Apply a deep understanding of the Agent Development Lifecycle (ADLC) from conception to deployment.
• Ensure governance and compliance for AI systems, addressing privacy, safety, and auditability.
• Integrate security and risk checklists into all AI deployments.
• Leverage expertise in cloud-native architecture, specifically AWS, for scalable and robust AI solutions.
• Liaise effectively with our India-based AI team, translating complex business requirements from executives and stakeholders into clear technical specifications.
• Cultivate strong relationships with internal stakeholders and identify new opportunities for AI integration and growth within the account.
• Present technical concepts and project updates clearly and concisely to executive leadership and non-technical audiences.

Qualifications

Required Skills & Experience

• 3-4 years of hands-on experience designing and deploying AI/LLM systems in production.
• 5-7 years of experience in AI/ML systems architecture.
• Proficiency in Agentic AI frameworks (LangGraph, AutoGen, CrewAI).
• Expertise in Python, including API integration and prompt engineering.
• Strong understanding of LLMs and tool/function calling.
• Demonstrated experience with RAG pipelines and knowledge base integration.
• Familiarity with vector databases (FAISS, Chroma, Pinecone, etc.).
• Experience with observability stack setup (logging, drift/bias monitoring).
• Solid knowledge of the Agent Development Lifecycle (ADLC).
• Understanding of governance, compliance, security, and risk in AI deployments.
• Experience with cloud-native architecture, particularly AWS.
• Exceptional executive communication and presentation skills.
• Proven ability in stakeholder management and relationship building.

Education

• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, Artificial Intelligence, or a similar quantitative field is required