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Placement Type:
Permanent
Salary:
$180,000-200,000 Salary
Start Date:
Mar 30, 2026
Lead Data Scientist, Autonomous Goal Management
Job Type: Permanent / Full-Time
Department: Enterprise AI
Location: 100% Remote
Sponsorship: Available for exceptional candidates
About the Role
We are seeking a highly experienced Lead Data Scientist to join our Enterprise AI organization and lead the development of advanced capabilities in autonomous goal management and agentic AI systems.
This is a high-impact individual contributor leadership role responsible for architecting and delivering production-grade AI systems that leverage Reinforcement Learning (RL) to enable intelligent agents capable of dynamic planning, autonomous decision-making, and goal decomposition in complex enterprise environments.
The ideal candidate has a proven track record of taking RL-driven agentic AI solutions from proof-of-concept to production, particularly within regulated industries such as healthcare, finance, defense, or aerospace.
This role requires both deep technical expertise and the ability to drive initiatives with minimal supervision, collaborate cross-functionally, and mentor junior scientists within a fast-moving AI organization.
Key Responsibilities
Lead the design and development of autonomous goal management frameworks for enterprise AI systems
Build and deploy production-ready Reinforcement Learning solutions for agentic AI applications
Architect dynamic planning and execution systems that support autonomous agents in complex workflows
Design goal decomposition, task orchestration, and adaptive decision frameworks
Develop robust evaluation, monitoring, and safety protocols to ensure agent reliability and alignment with business objectives
Translate cutting-edge AI/ML research into scalable production systems
Partner cross-functionally with data science, software engineering, product, and business stakeholders
Drive technical direction and decision-making with minimal hand-holding
Mentor junior data scientists and provide technical leadership across projects
Facilitate alignment across teams on architecture, implementation, and delivery strategy
Contribute to enterprise-wide AI capability development and innovation initiatives
Required Qualifications
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field
4+ years of experience in AI/ML research, data science, or ML engineering
2+ years leading advanced AI/ML systems or serving in a technical lead capacity
Demonstrated experience applying Reinforcement Learning to agentic AI systems in production
Proven success moving AI solutions from research prototype / POC to live production environments
Strong expertise in autonomous goal management and dynamic planning systems
Advanced Python programming skills
Strong hands-on experience with core ML frameworks such as:
PyTorch
JAX
TensorFlow (preferred but optional)
Experience with:
Model-based RL
Symbolic planning
Causal reasoning
Agent orchestration frameworks (e.g. LangChain, custom agent frameworks)
Experience designing scalable ML pipelines and production infrastructure
Strong software engineering fundamentals and system design capabilities
Preferred Qualifications
Experience within regulated industries, especially healthcare, finance, defense, or aerospace
Experience building safe and reliable autonomous systems
Familiarity with enterprise-scale ETL and high-performance ML systems
Experience with multi-agent systems and hierarchical planning frameworks
Strong background in experimentation, model evaluation, and performance monitoring
Leadership & Collaboration
This role is ideal for a highly autonomous technical leader who thrives in collaborative environments.
Success in this position requires:
Strong cross-functional communication
Ability to influence stakeholders across technical and non-technical teams
Comfort receiving and incorporating constructive feedback
Conflict mitigation and consensus-building skills
A mentoring mindset to support junior scientists
This is not a role for someone who prefers to work in isolation.
What Success Looks Like
In this role, you will:
Build enterprise-grade agentic AI capabilities
Establish frameworks for autonomous decision-making and planning
Lead the productionization of advanced RL systems
Drive measurable business impact through intelligent automation
Help shape the future direction of Enterprise AI initiatives
#LI-LB2
Sprachkenntnisse
- English
Hinweis für Nutzer
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