Data Scientist III
Robert Half•San Ramon, CA
•$104,000 - $153,000
About The Position
As a Data Scientist III – Generative AI, you will lead advanced analytics and agent development projects using Azure and Microsoft data services alongside modern Generative AI frameworks. You will combine data science expertise and hands-on machine learning experience to develop intelligent agents, improve productivity, and deliver measurable business outcomes. The role involves building and evaluating agentic systems, advancing internal AI capabilities, and helping teams and stakeholders adopt Generative AI.
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- At least 5 years of experience in applied machine learning, AI development, or advanced data science roles.
- Hands-on experience building and deploying LLM-based agents, RAG pipelines, and multimodal Generative AI systems.
- Proficiency in Python and Generative AI frameworks.
- Strong understanding of agent orchestration frameworks such as LangGraph, LangChain, AutoGPT, or equivalent.
- Demonstrated expertise in benchmarking, A/B testing, and model monitoring for AI systems.
- Experience developing and maintaining prompt engineering standards and frameworks.
- Ability to evaluate and optimize model performance across different LLMs and architectures.
- Strong communication and collaboration skills across product, engineering, and business teams.
- Proven track record of mentoring team members and driving innovation in AI workflows.
Nice To Haves
- Familiarity with internal experimentation, observability, or AI governance tools.
- Contributions to open-source projects, research publications, or AI community initiatives.
Responsibilities
- Design and implement Generative AI-powered agents to address business challenges and streamline internal workflows.
- Extend and optimize the internal agent evaluation framework to support reliable, high-performing, and explainable agents.
- Build benchmarking and monitoring systems to assess orchestration strategies and production model performance.
- Run experiments to evaluate model or architecture changes, balancing performance, cost, and scalability.
- Build on prompt engineering frameworks to standardize best practices and reduce prompt debt.
- Develop ambient, context-aware agents that improve efficiency and productivity beyond chatbot use cases.
- Collaborate with engineering teams to advance the internal agentic platform, including orchestration, observability, and optimization.
- Mentor and guide junior data scientists and software engineers on Generative AI techniques and frameworks.
- Partner with product managers to assess technical feasibility, estimate level of effort, and prioritize development initiatives.
- Propose ideas to evolve agentic architecture and advance internal AI capabilities.
- Communicate complex AI concepts to non-technical stakeholders to support organizational learning and adoption.
- Lead roadshows and demonstrations to promote Generative AI tools and drive enterprise-wide cultural change.
Benefits
- Group health insurance benefits, including medical, vision, and dental.
- Flexible spending and health savings accounts.
- Life and accident insurance.
- Adoption and fertility assistance.
- Paid parental leave of up to 6 weeks.
- Short- and long-term disability coverage.
- Paid time off for vacation, personal needs, and sick time; new hires earn up to 17 days of Choice Time Off per calendar year, prorated based on hours worked and varying with years of service.
- Up to 11 paid holidays per calendar year.
- 401(k) savings and investment plan or deferred compensation plan if eligible, with a 100% employer match on the first 3% of eligible employees’ contributions.
- Eligibility for a discretionary annual bonus.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
