## Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation
## Benefits
- Work/Life Balance
- We value work-life harmony
- The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market
- Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
## Responsibilities
- You will be instrumental in advancing the frontier of human-agent collaboration for enterprise solutions
- You will leverage your deep expertise in machine learning and artificial intelligence to develop intelligent systems that enhance how professionals interact with agentic AI tools, driving innovation in professional services delivery while balancing user experience, ethics, and business outcomes
- Your work will define how the next generation of professionals collaborate with intelligent systems, establishing new paradigms for productivity, creativity, and problem-solving in enterprise environments
- Architect and design AI agent systems that can effectively understand, reason about, and execute professional services workflows
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase service effectiveness and business outcomes, while maintaining exceptional customer experience
- Drive end-to-end Machine Learning projects involving agentic AI that navigate high degrees of ambiguity, scale, and complexity
- Design and implement advanced machine learning models for agent decision-making, natural language understanding, and contextual reasoning
- Conduct proof-of-concept development, experimentation, optimization, and production deployment of AI agent systems
- Collaborate closely with software engineers to productionize ML models for agentic AI solutions
- Design, execute, and analyze A/B experiments to evaluate agent performance, user satisfaction, and business impact
- Establish scalable, efficient, automated processes for large-scale data analysis, agent behavior modeling, model validation, and serving
- Research and implement new approaches for agent learning, reasoning, and interaction with human professionals
- Develop frameworks for evaluating agent effectiveness, safety, and alignment with human objectives
## Full Description
Description
You will be instrumental in advancing the frontier of human-agent collaboration for enterprise solutions. You will leverage your deep expertise in machine learning and artificial intelligence to develop intelligent systems that enhance how professionals interact with agentic AI tools, driving innovation in professional services delivery while balancing user experience, ethics, and business outcomes.
In this role, you will shape the future of professional services by creating AI agents that augment human capabilities, streamline complex workflows, and deliver unprecedented value to customers. Your work will define how the next generation of professionals collaborate with intelligent systems, establishing new paradigms for productivity, creativity, and problem-solving in enterprise environments.
Key job responsibilities
Architect and design AI agent systems that can effectively understand, reason about, and execute professional services workflows
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase service effectiveness and business outcomes, while maintaining exceptional customer experience
Drive end-to-end Machine Learning projects involving agentic AI that navigate high degrees of ambiguity, scale, and complexity
Design and implement advanced machine learning models for agent decision-making, natural language understanding, and contextual reasoning
Conduct proof-of-concept development, experimentation, optimization, and production deployment of AI agent systems
Collaborate closely with software engineers to productionize ML models for agentic AI solutions
Design, execute, and analyze A/B experiments to evaluate agent performance, user satisfaction, and business impact
Establish scalable, efficient, automated processes for la