Description
Senior Data Scientist – Generative AI & Conversational Agents - Ventures Team
About the role
We are looking for a Senior Data Scientist to lead the design, development, and deployment of next-generation AI-powered conversational experiences. This role will drive the technical strategy for GenAI solutions, working closely with Product and Engineering teams to build scalable, production-ready AI applications.
Key Responsibilities
- Design and deploy conversational AI solutions powered by Large Language Models (LLMs).
- Build and optimize agent-based workflows, integrating external tools, APIs, and knowledge sources.
- Develop prompt engineering strategies and evaluation frameworks to improve model performance.
- Architect scalable AI systems, including memory, context management, and retrieval capabilities.
- Fine-tune and adapt NLP/transformer models for business-specific use cases.
- Partner with cross-functional teams to translate business needs into AI-driven solutions.
- Provide technical leadership and mentor team members on AI best practices.
Required Qualifications
- 5+ years of experience in Machine Learning, Data Science, or Artificial Intelligence.
- Hands-on experience building and deploying GenAI or Conversational AI applications in production.
- Strong experience with LLM platforms such as OpenAI, Claude, Llama, Mistral, or similar.
- Experience with agent frameworks such as LangChain, LangGraph, SmolAgents, or equivalent.
- Knowledge of RAG architectures, embeddings, vector databases, and context management.
- Experience fine-tuning transformer models using frameworks such as Hugging Face.
- Strong Python software engineering skills, including Git, testing, CI/CD, and cloud environments.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience with MCP (Model Context Protocol).
- Familiarity with observability and evaluation tools such as LangSmith, Phoenix, MLflow, or Weights & Biases.
- Experience optimizing LLM applications for scalability, latency, and cost.
- Knowledge of AWS, Azure, or Google Cloud.
- Experience with Responsible AI and AI Governance.
A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.
