Director, Agentic Lab in New York at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Agentic Lab based in the United States.

This is a senior technical leadership role focused on shaping the next generation of AI agents and autonomous workflows.
You will lead rapid experimentation, prototyping, and validation of emerging AI technologies and translate promising concepts into scalable enterprise capabilities.
The role sits at the intersection of AI research, software engineering, architecture, and product development.
You’ll evaluate foundation models, agent frameworks, orchestration technologies, and developer tools while establishing reusable patterns and reference implementations.
Success will depend on your ability to turn cutting-edge AI concepts into production-ready solutions with strong engineering, evaluation, observability, and governance practices.
You’ll work closely with engineering, platform, product, and architecture teams while mentoring technical talent and fostering a culture of experimentation.
This remote US opportunity offers the chance to influence enterprise AI strategy at significant scale in a highly innovative and collaborative environment.

• Lead rapid prototyping, experimentation, and technical validation of agentic AI solutions, autonomous workflows, and emerging AI capabilities.
• Evaluate foundation models, agent frameworks, orchestration technologies, developer tooling, and related technologies to identify opportunities for enterprise adoption.
• Develop reusable proof-of-concepts, accelerators, reference architectures, and implementation patterns that can support broader AI engineering initiatives.
• Partner with AI Engineering, Platform Engineering, Product, Architecture, and other technical teams to transition successful prototypes into production-grade enterprise capabilities.
• Establish best practices for prompt engineering, reasoning strategies, agent memory architectures, evaluation frameworks, observability, and autonomous workflow design.
• Contribute to enterprise-wide standards, technical documentation, engineering guidelines, and reusable patterns for developing and deploying AI agents.
• Help assess technical feasibility, scalability, reliability, and business value of emerging agentic AI approaches.
• Identify opportunities to improve AI development workflows through experimentation with new models, tools, frameworks, and automation techniques.
• Mentor AI engineers and technical contributors, promoting strong engineering practices, knowledge sharing, experimentation, and continuous learning.
• Collaborate across research, engineering, architecture, product, and business functions to communicate technical possibilities, trade-offs, and recommendations.
• Support the evolution of an enterprise AI ecosystem by helping establish scalable development practices and technical foundations for agentic applications.

• Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline.
• 7+ years of experience building AI, machine learning, or software engineering solutions, including experience providing technical leadership.
• Strong hands-on expertise with large language models (LLMs), agent frameworks, retrieval-augmented generation (RAG), vector databases, APIs, Python, and cloud-native development.
• Demonstrated software engineering expertise with experience designing and delivering production-grade AI applications and scalable technical solutions.
• Experience evaluating emerging AI technologies and translating experimental concepts into practical, reusable, and production-oriented implementations.
• Strong understanding of agentic AI concepts, autonomous workflows, orchestration, prompt engineering, reasoning strategies, memory architectures, evaluation, and observability.
• Excellent communication and collaboration skills, with the ability to work effectively across research, engineering, architecture, product, and business teams.
• Demonstrated ability to mentor technical professionals and influence engineering practices across teams.
• Strong curiosity, learning agility, analytical thinking, and willingness to experiment with rapidly evolving AI technologies.
• Ability to connect technical innovation with business value and enterprise-scale requirements.
• Experience with data quality, data governance, data literacy, machine learning algorithms, statistical analysis, or related AI disciplines is advantageous.
• Experience in pharmaceutical, healthcare, or another highly regulated industry is preferred.
• Experience building enterprise agentic AI platforms, developer ecosystems, or reusable AI infrastructure is highly desirable.

• Base salary: $194,600–$361,400 USD per year, with final compensation based on factors including relevant skills and experience and subject to periodic review.
• Performance compensation: Eligibility for a performance-based cash incentive.
• Equity: Depending on role level, eligibility to be considered for annual equity awards.
• Healthcare: Comprehensive health benefits for eligible US employees.
• Insurance: Life and disability coverage.
• Retirement: 401(k) plan with employer contribution and matching.
• Paid time off: Generous vacation, personal days, holidays, and other applicable leave programs.
• Work location: Remote anywhere in the United States, subject to applicable legal-entity restrictions.
• Travel: Approximately 10% domestic and/or international travel.
• Professional growth: Opportunity to mentor technical talent, work with emerging AI technologies, and contribute to enterprise-scale innovation.
• Inclusive environment: A collaborative culture centered on experimentation, continuous learning, diverse perspectives, and innovation.