Lead the AI Agent Engineering team, turning a growing portfolio of AI use cases into reliable production systems in a player-coach role.
Locations (2)
Atlanta, Georgia, United States
Northridge, California, United States
Compensation
Salary ranges for U.S (excl. PR) locations (USD):$138,000.00 - $234,000.00
For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the base salary range is $153,000 to $261,000 annually.
Responsibilities
Lead the team and its delivery
Build and grow the team
Run delivery
Work with product managers and the business
Represent the team
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field
Advanced degree
Nice to have: Leading staff-level individual contributors
Nice to have: Managing a blended team of employees, contractors, and external delivery partners
Own enterprise AI strategy and delivery for Bullish Group, drive employee adoption, partner with business leaders to improve workflows, and lead the development of shared AI capabilities.
Compensation
The anticipated base salary for this position is $275,000 - $340,000 + discretionary annual target bonus + performance incentives/benefits.
Responsibilities
Own enterprise AI strategy for Bullish Group
Build and lead the AI Platform & Enablement team
Own the AI capability roadmap and lead development of shared services
Lead enterprise AI tool rollout, access, administration, and adoption
Evaluate AI models for dual-use biological risks, run assessment pipelines, analyze data, and produce technical reports to inform stakeholders.
Locations (3)
United States
Cambridge, Massachusetts, United States
Berkeley, California, United States
Responsibilities
Work with AI firms and internal research and engineering teams to carry out high quality, informative capability and safeguard assessments of emerging AI models.
Execute evaluation pipelines, analyze data and identify how results align with relevant threat models and risk levels.
Manually assess models for both willingness and knowledge across specialized domains of biology.
Synthesize findings into clear evaluation reports, technical write-ups, and risk summaries for partners and regulatory bodies.
Own enterprise AI strategy and delivery for Bullish Group, driving employee adoption, partnering with business leaders to improve workflows, and leading the development of shared AI capabilities.
Compensation
The anticipated base salary for this position is $275,000 - $340,000 + discretionary annual target bonus + performance incentives/benefits.
Responsibilities
Own enterprise AI strategy for Bullish Group
Build and lead the AI Platform & Enablement team
Own the AI capability roadmap and lead development of shared services
Lead enterprise AI tool rollout, access, administration, and adoption
Senior AI Enterprise Architect responsible for developing and advancing AI/GenAI architecture vision and roadmaps within large enterprise environments.
Responsibilities
Entwicklung einer pragmatischen und umsetzungsorientierten Architekturvision
Erarbeitung und Weiterentwicklung von Architekturkonzepten
Überführung der Architektur in konkrete organisatorische und technische Anforderungen
Spezifikation und Evaluation zentraler Services
Unterstützung bei der Erstellung und Priorisierung einer umsetzbaren Architektur-Roadmap
Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
Develop and implement software architecture and design patterns to ensure scalability and performance.
Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
Implement and manage data pipelines to preprocess and transform data for AI/ML models.
Requirements
Bachelor’s degree in Computer Science or equivalent practical experience.
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