• Build, scale, and run biosecurity evaluations on frontier AI systems • Perform pre-release and post-release assessments of frontier and open-source AI models • Build adapters for models, identify and troubleshoot unexpected agent behaviors • Ensure evaluations are methodologically rigorous • Improve evaluations to use state-of-the-art agent frameworks, jailbreaking methods, and elicitation strategies • Develop and improve internal tools for capability assessments at scale • Contribute to and maintain cloud infrastructure

Role Description We're looking for an AI Enablement Engineer to drive AI adoption across every team at Applause. You'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: - Standing up tools - Wiring integrations into our core systems - Training the team on how to use them - Tracking whether they're moving the needle This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution. Qualifications - Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience) - 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role - Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required - Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms) - Working knowledge of modern AI tools (Claude, Copilot, and similar) and how to apply them to business workflows - Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows - Strong communicator who can train and troubleshoot with non-technical users - Detail-oriented with strong ownership over initiatives, start to finish - Very effective in a remote work environment Requirements - Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering) - Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it - Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations - Iterate and fine-tune workflows post-launch based on usage and feedback - Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access - Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use - Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire - Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used - Troubleshoot adoption issues directly with end users rather than escalating them - Track usage and cost of AI tools by team and use case, and run monthly ROI reporting - Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact - Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change Benefits - 100% remote w/ no office mandate - Unlimited PTO - 22 official company holidays - Health care - Life insurance - Stock options - Amazing colleagues - Energetic culture that is positive and celebrates together - Inspiring mission & software product - Ability to grow your career by being early in a fast-growing tech startup

• Design and implement Machine Learning capabilities that improve Autodesk’s RAG platforms • Perform statistical and data analysis and exploration to generate datasets for model training and development • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform. • Partner with stakeholders, to solve important business objectives across a range of problems • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

• Lead the AI Platform Enablement function as an operating domain with responsibility for roadmap, delivery, adoption, and operational strategy across multiple work-streams. • Define and execute the strategy for a governed internal AI platform environment that includes developer workspaces, secure gateway patterns, identity, observability, and enterprise integrations, in close partnership with the Enterprise AI team. • Partner with engineering, platform, infrastructure, security, risk, and compliance stakeholders to ensure the platform is secure, auditable, scalable, and aligned to enterprise standards. • Drive enablement programs that help internal teams adopt approved AI capabilities through structured training, reusable templates, starter kits, and rollout playbooks. • Build operating mechanisms, service models, and prioritization frameworks that help teams move from idea to working solutions in a controlled environment with speed and consistency. • Establish success metrics for platform usage, onboarding, adoption, delivery velocity, control effectiveness, and user experience. • Lead and grow a high-performing team, setting clear direction, developing talent, and creating strong cross-functional alignment across technical and business stakeholders. • Act as an executive-facing leader who can translate technical platform decisions into business outcomes, adoption plans, and risk-managed execution.