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.

Responsibilities

• 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.

Who You Are

We are looking for a hands-on builder who is passionate about operationalizing the potential of AI. You are a pragmatic problem-solver who can take high-level objectives and help define clear, actionable engineering projects. You excel at cross-functional collaboration, working directly with cybersecurity, legal, and other engineering teams to build secure, compliant, and scalable solutions. You have a talent for execution and are motivated to drive technical initiatives from initial evaluation through to successful implementation. You have strong communication skills and feel comfortable working with staff of all levels, including executive leadership.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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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