Roadmap & Strategy: Collaborate with Altos leadership to identify requirements, develop rollout strategies, and maintain an enterprise AI roadmap. Provide technical insights and feasibility assessments on new technologies and integration strategies.
Tool Evaluation & Onboarding: Perform technical due diligence on new AI tools and platforms. Collaborate with IT, Cybersecurity, and Legal to validate security and compliance, ensuring a secure and standardized onboarding process.
Infrastructure & Operations: Design, build, and maintain the core infrastructure for our AI tools. Develop telemetry systems, implement strategies for managing compute resources, and create automated workflows for reporting on usage and cost.
Enablement & Best Practices: Develop technical documentation, tutorials, and best-practice guides to support our teams. Establish and promote standards for the responsible and efficient use of AI tools.
Reporting & Analytics: Build and manage the systems that provide key metrics on AI tool adoption, cost, and impact. Ensure data is accessible and provides actionable insights for technical and business stakeholders.
Requirements
Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Technical Experience:
Proven experience building and implementing technology infrastructure, particularly for enterprise-wide software.
Hands-on experience with cloud platforms (AWS/GCP) and building data pipelines for telemetry and cost analysis.
AI/ML Knowledge: A strong working knowledge of the current AI landscape, including generative AI models, platforms, and their enterprise applications.
Cross-functional Collaboration: Demonstrated ability to work effectively with diverse teams, including IT, security, legal, and research departments.
Communication Skills: Excellent written and verbal communication skills, with experience creating technical documentation and communicating project status.
Direct experience with the technical integration or rollout of AI tools (e.g., Claude Enterprise, ChatGPT, Copilot) and LLM APIs.
Experience contributing to or managing technology governance and best-practice frameworks.
A background working in a scientific, biotech, or research-focused environment.
Familiarity with Responsible AI principles and frameworks.
The salary range for Redwood City, CA :
AI Automation Engineer I : $152,600 - $195,600
Sr. AI Automation Engineer : $200,900 - $257,500
Exact compensation may vary based on skills, experience, and location.
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This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.
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Additional Information
Our Mission
Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Our Value
Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission .
Diversity at Altos
Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
Altos Labs is building a world-class AI ecosystem to solve the most complex problems in biology. As the demand to leverage new AI technologies accelerates, we are seeking a hands-on AI Implementation Engineer to build the foundation for the safe and effective adoption of AI tools across the company. You will play a key role in enabling our scientific and corporate teams by understanding requirements across all departments and implementing robust systems for AI tool configuration, evaluation, and operational intelligence.
Altoslabs · San Francisco Bay Area, CA