Senior Data Scientist – Generative AI & Agentic Systems

Senior Data Scientist – Generative AI & Agentic Systems Contract-to-Hire Opportunity with a Leading Financial Services Firm Location: Fully Remote (United States) Work Schedule: Must Work Eastern Time Business Hours Duration: Contract-to-Hire Pay Rate: Open Employment Type: W2 Only (No Corp-to-Corp) Work Authorization: Permanent U.S. Work Authorization Required The ideal candidate will combine deep technical expertise in Generative AI, Machine Learning, Agentic Systems, and AI Engineering with strong business acumen and a passion for solving complex problems. This is a hands-on role focused on designing, building, deploying, and scaling AI solutions within an enterprise environment. What You Can Expect on a Typical Day • Design, develop, and deploy production-grade Generative AI and Agentic AI solutions that support critical business initiatives • Build AI applications from concept through production, including architecture, development, testing, deployment, monitoring, and continuous improvement • Develop AI agent frameworks, orchestration layers, and context engineering pipelines to support complex business workflows • Design and implement multi-agent systems capable of solving sophisticated, multi-step business challenges • Build and integrate Model Context Protocol (MCP) servers to securely expose enterprise tools, data sources, and APIs to AI agents • Develop Agent-to-Agent (A2A) communication frameworks and intelligent orchestration capabilities • Partner closely with Machine Learning Engineers, Software Engineers, and Data Engineers to productionize AI solutions • Build and maintain scalable data pipelines supporting AI and machine learning initiatives • Integrate AI solutions with enterprise platforms, applications, and business systems Required Qualifications • Master's degree or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, Econometrics, Actuarial Science, or a related quantitative discipline • Strong experience designing and deploying AI solutions within production environments • Demonstrated ability to solve complex business and technical challenges using advanced analytical methods • Excellent communication, collaboration, and problem-solving skills • Ability to work independently while contributing effectively within highly collaborative teams Technical Expertise AI Engineering & Production AI Lifecycle • Experience designing, building, deploying, monitoring, and maintaining enterprise AI solutions • Deep understanding of the complete AI lifecycle, including: • Problem framing • Data preparation • Model development • Evaluation and validation • Production deployment • Monitoring and observability • Continuous improvement • Experience with: • CI/CD for AI and machine learning applications • Model versioning • AI observability • Responsible AI practices Generative AI & Agentic AI • Hands-on experience with: • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • LangChain • LangGraph • Vector Databases • Strong expertise in context engineering, including: Machine Learning • Strong understanding of machine learning theory and algorithms • Experience building, training, evaluating, deploying, and monitoring machine learning models • Ability to apply statistical and mathematical principles to solve real-world business challenges Data Engineering & Analytics • Experience acquiring data from multiple sources using APIs, SQL, and cloud-based platforms • Strong data transformation and data preparation skills using Python and SQL • Experience working with large structured and unstructured datasets • Strong data wrangling, feature engineering, and exploratory analysis capabilities • Experience developing data visualizations and analytical insights using Python and related tools Programming Languages • Python • SQL