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Position Overview
We are 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 requires expertise in AI technologies, a strong grasp of finance concepts, and proven experience working with Azure Cloud and Microsoft Copilot Studio.
Position Overview
We are 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 requires expertise in AI technologies, a strong grasp of finance concepts, and proven experience working with Azure Cloud and Microsoft Copilot Studio.
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.
- 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.
- 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.
Location: Greenwich, CT
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Investment Management
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