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.