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