Data Scientist II

Our client is seeking a Data Scientist II - Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.

You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.

Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.

• AI Engineering Expertise: Strong experience with Generative AI and Large Language Models (LLMs), including building and deploying agentic workflows in production.
• Data Science Background: Solid foundation in statistics and model evaluation for prompt engineering, prototyping, and solution assessment.
• Production Deployment Skills: Proven ability to convert prototypes into production-ready solutions with unit testing, metric tracking, and scalability for global use.
• Technical Proficiency:
• Languages: Python (required; primary for RAG applications)
• Frameworks: LangChain, LangGraph, AutoGPT, or equivalent
• LLM Providers: Azure OpenAI (with integrations for Anthropic and potentially Gemini)
• Collaboration: Experience working with business teams to gather requirements and deliver solutions that address multiple client needs.
• Innovation: Ability to design context-aware agents beyond chatbots, focusing on orchestration, observability, and optimization.
• Preferred Experience:
• 5+ years in applied ML, AI development, or advanced data science roles
• Familiarity with AI governance, observability tools, and experimentation frameworks
• Contributions to open-source projects or AI community initiatives are a plus Technology Doesn’t Change the World, People Do.®

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