AI Engineering: AI Model, Strategy, AI Investment banking a must

Overview

On Site
$190,000 - $210,000
Full Time

Skills

Azure Cloud
Microsoft Copilot Studio
MATHEMATICS
MATH
ALGORITHM
LOW LATENCY
INVESTMENT BANKING
Azure Machine Learning
Azure Data Factory
AI DEVELOPMENT
AI-DRIVEN
AI PYTHON
PYTHON
SQL
etrieval-Augmented Generation
RAG
Model Context Protocol
MCP
Agentic AI

Job Details

****ONSITE ONLY, Greenwich, CT****

FINANCE is required: Investment banking, hedge fund, institutional banking etc.

*****Candidate without an extensive FINANCE background will NOT be contacted.

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.

Qualifications

  • Bachelor s degree in mathematics, 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.

This is not a remote position

Location: Greenwich, CT

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