Data Scientist – Generative AI & Agentic AI

Data Scientist – Generative AI & Agentic AI

Contract-to-Hire Opportunity with a Major Financial Services Firm

• Location: Fully Remote (U.S. Only)
• Work Schedule: Must be available during EST business hours
• Duration: Contract-to-Hire
• Pay Rate: Up to $62/hour W2 (Based on Experience)
• Employment Type: W2 Only (No C2C)
• Candidates: Must be located within the United States

• We are seeking an experienced Data Scientist with strong expertise in Generative AI, Agentic AI, and Machine Learning to join an innovative technology team within a leading financial services organization.
• In this role, you'll partner with Data Scientists, Machine Learning Engineers, Software Engineers, Economists, Statisticians, and other technical experts to design, build, and deploy production-grade AI solutions that drive meaningful business outcomes. This is an opportunity to work on cutting-edge AI initiatives involving LLMs, AI agents, multi-agent architectures, and enterprise-scale AI platforms.

• What You'll Do
• Design, develop, and deploy production-grade Generative AI and Agentic AI solutions
• Build AI agents, orchestration frameworks, and context engineering pipelines
• Design and implement Model Context Protocol (MCP) servers to securely expose enterprise tools, APIs, and data sources to AI agents
• Develop Agent-to-Agent (A2A) communication patterns and multi-agent architectures for complex business workflows
• Perform prompt engineering, context engineering, and structured output design
• Write production-quality Python code and participate in the full AI software development lifecycle
• Partner with Machine Learning Engineers to productionize AI models and solutions
• Collaborate with Data Engineers to build scalable data pipelines
• Work with Software Engineers to integrate AI capabilities into enterprise applications
• Research emerging AI technologies, frameworks, and best practices
• Continuously improve AI solutions through testing, monitoring, evaluation, and optimization

• Required Qualifications
• Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, Econometrics, Actuarial Science, or another quantitative discipline
• Strong experience designing and deploying production AI solutions
• Excellent analytical, communication, collaboration, and problem-solving skills
• Ability to work independently while collaborating across cross-functional teams
• Passion for learning emerging AI technologies and solving complex business problems

• Technical Skills
• Strong experience with Generative AI and Large Language Models (LLMs)
• Hands-on experience with Agentic AI, AI agents, and multi-agent architectures
• Experience with Retrieval-Augmented Generation (RAG)
• Experience using LangChain, LangGraph, and vector databases
• Strong understanding of prompt engineering and context engineering techniques
• Experience building AI orchestration frameworks and evaluation pipelines
• Experience developing MCP Servers and integrating enterprise APIs with AI agents
• Experience implementing Agent-to-Agent (A2A) communication patterns
• Strong understanding of the complete AI development lifecycle, including deployment, monitoring, model versioning, observability, and Responsible AI practices
• Strong knowledge of Machine Learning theory and model development
• Experience acquiring and transforming data using APIs, SQL, and Python
• Experience with data wrangling, feature engineering, and processing structured and unstructured datasets
• Strong SQL and database design knowledge
• Experience working with AWS cloud environments and DevOps practices
• Strong programming skills using Python and SQL

• Preferred Qualifications
• Experience deploying enterprise AI applications in AWS
• Experience with AI CI/CD pipelines and model lifecycle management
• Experience integrating AI solutions into enterprise software platforms
• Experience building scalable cloud-native AI solutions
• Financial services experience is a plus

If you're passionate about building next-generation AI solutions and want to work on cutting-edge Generative AI initiatives within a leading financial services organization, we'd love to hear from you.

Apply today with your updated resume.