Head of AI; Applied AI & Automation
Listed on 2026-06-04
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Product Designer
About the role
Smart Suite is building the next generation of enterprise software—an AI‑native Work Operating System that connects governance, risk, compliance, IT, project management, finance, and business operations on a single platform. We are hiring a Head of AI to personally drive the implementation of AI across every part of our business and within our product.
This role spans all departments, including Sales, Marketing, Customer Success, Support, Product, Engineering, Finance, and Operations.
This is a hands‑on, execution‑focused role. You will not just define strategy—you will build, implement, train, and scale AI usage across the company while helping shape how AI is delivered to our customers inside Smart Suite. This is a highly visible, cross‑functional role reporting directly to the CEO and working closely with Product, Engineering, and Go‑To‑Market leadership. This role is measured by implemented solutions and adoption—not strategy documents.
Whatyou'll do Embed AI Into Every Department (Hands‑On)
- Work directly with teams across the company to identify and implement AI‑driven improvements
- Build prompts, agents, workflows, and automations using Smart Suite and modern AI tools
- Replace manual processes with AI‑enabled workflows
- Iterate quickly based on real‑world usage and feedback
- Run hands‑on training sessions and working sessions with internal teams
- Create structured playbooks, templates, and repeatable patterns
- Develop training videos and educational content on AI usage
- Host webinars and customer sessions to showcase AI use cases and best practices
- Drive adoption across both Smart Suite teams and customers
- Partner with Product and Engineering to define and implement AI capabilities
- Prototype and validate real‑world AI use cases before productization
- Contribute to capabilities such as AI Assist, AI Agents, AI Search, AI Solution Builder, and workflow automation with AI
- Ensure AI is embedded directly into workflows—not added as standalone features
- Help define what gets built and prove it works in practice
- Design and implement Smart Suite’s approach to Model Context Protocol (MCP) and context orchestration
- Enable seamless interaction between AI models, Smart Suite data, workflows, and external systems
- Support Smart Suite’s BYO‑LLM architecture, allowing customers to use their preferred models
- Ensure scalable, secure, and consistent AI behavior across the platform
- Evaluate and manage relationships with AI providers such as OpenAI, Anthropic, Amazon Web Services, and Google Cloud
- Select models and tools based on real use cases, performance, and cost
- Optimize for flexibility, reliability, and scalability across providers
- Make build‑vs‑buy‑vs‑partner decisions for AI capabilities
- Vendor and partner management is a service of building and delivering AI‑powered workflows—not a standalone responsibility
- Establish standards for how AI is used across the company
- Define reusable prompts, workflows, and automation patterns
- Ensure consistency, scalability, and governance
- Use Smart Suite as the primary platform for designing and deploying AI‑driven workflows
- Builder/operator mindset—the candidate executes, not just plans
- Proven experience implementing AI in real business workflows
- Comfortable working directly with both technical and non‑technical teams
- Strong understanding of LLMs, AI agents, and modern AI capabilities
- Ability to move quickly, iterate, and deliver results
- Hands‑on experience with leading AI models and platforms, particularly Anthropic (Claude, including Code Interpreter, Artifacts, Co‑Work, and related capabilities) and OpenAI
- Experience building AI‑powered workflows, agents, and automations
- Proven track record of deploying AI solutions that are actively used in a business environment
- Experience training teams or users on new technologies and driving adoption
- Familiarity with cloud AI ecosystems (AWS, Google Cloud, etc.)
- Experience with AI agents, context management, or…
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