Senior AI Engineer (Hedgefund)

Our client a global investment firm in Greenwich, CT is seeking  a proactive and innovative AI Engineer to spearhead the design and implementation of advanced AI solutions, including emerging Agentic AI workflows. This role blends leadership in AI strategy with hands-on responsibilities in data engineering, ensuring the seamless integration of AI models into our data infrastructure. This role represents a unique opportunity to serve as the founding member of the AI team—laying the groundwork for innovation and serving as the driving force behind the department’s growth and long-term impact.

Key Responsibilities

• Design, develop, and deploy AI models and algorithms to optimize business processes and decision-making.
• Act as a project manager to oversee AI project lifecycles, coordinating with cross-functional teams to ensure timely delivery and alignment with business objectives.
• Leverage Copilot Studio to build and customize AI-driven solutions, streamlining workflows and enhancing user experiences.
• Collaborate directly with the Chief Information Cybersecurity Officer to assist the firm's cybersecurity strategies, including security controls, threat detection, and incident response.
• Utilize SQL to manage and analyze datasets, ensuring data integrity and efficient querying for AI applications.
• Stay current on AI, cybersecurity, and finance industry trends to ensure cutting-edge solutions and robust security measures.
• Document technical processes, AI model performance, and cybersecurity protocols for transparency and compliance.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Cybersecurity, or a related field. Advanced degrees preferred.
• Minimum of 3 years of professional experience in the finance industry, with a strong understanding of financial systems and processes.
• Minimum of 5 years of professional experience in the AI industry, with a strong understanding of AI model development and deployment.
• At least 10 years of hands-on experience in software or IT Development
• Proficiency in working with various AI providers via APIs and integrating them with legitimate sources.  
• Hands-on experience designing and deploying Agentic AI systems—capable of executing multi-step workflows, autonomous task management, and self-directed reasoning
• Experience with Model Context Protocol (MCP) for integrating AI models with external tools and data sources to enhance application functionality.
• Practical, industry-level experience with fine-tuning, Retrieval-Augmented Generation (RAG), and prompt engineering
• Strong AI-related Python programming knowledge.
• Proficiency in SQL for data manipulation and querying.
• Experience with Copilot Studio for building AI-driven applications.
• Proficiency with Azure cloud services (e.g., Azure Machine Learning, Azure Data Factory) for AI development and deployment.

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