Note: The job is a remote job and is open to candidates in USA. Zywave is in the middle of a company-wide push to bring AI into how we work, and this role sits at the center of it. The Enterprise AI Enablement Engineer will collaborate with various teams to identify automation opportunities and rapidly develop solutions, driving the adoption of AI tools across the organization.
Responsibilities
- Work with business stakeholders across Zywave to identify and prioritize AI automation opportunities, including needs teams have not yet put into words
- Turn loosely defined problems into working prototypes, refining them in close collaboration with stakeholders along the way
- Build AI-powered workflows, automations, and integrations using Claude, TrueFoundry, and connected MCP tools including Atlassian, Salesforce, Microsoft 365, and many more
- Own projects from the initial conversation through to delivery
- Keep security front of mind in every solution you design or deploy, working with the CISO and Security team on risk and compliance requirements
- Drive adoption of Claude Chat and Cowork across the organization through hands-on support and demonstrated results
- Support teams involved in our citizen developer and vibe coding programs, including Replit and Claude Code
- Document what works so that patterns and reusable components can be shared across the company
Skills
- Proven ability to draw out unstated requirements through both structured and informal conversations with stakeholders
- Background in a business analyst, solutions consultant, or similar role with significant client or stakeholder-facing work
- Comfortable running working sessions with non-technical audiences at any level of the organization
- Able to write clear user stories and lightweight specs quickly, without waiting for a perfect brief
- Strong working knowledge of Python and/or JavaScript or TypeScript for prototyping and API integration
- Hands-on experience with LLM APIs, with Anthropic Claude preferred, including prompt engineering and building agentic workflows
- Familiarity with MCP (Model Context Protocol) servers and tool-calling patterns
- Experience connecting enterprise SaaS platforms via REST APIs, including tools like Salesforce, Atlassian, and Microsoft Graph
- Working knowledge of CI/CD and cloud deployment, with Azure experience preferred
- Understands secure development practices and knows how to handle sensitive data, credentials, and access controls appropriately
- Operates fluently within the org's agent and data-security guardrails, exercising independent judgment on routine decisions and partnering with Security Team on novel risk rather than working around it
- Comfortable starting work without a fully defined scope
- Strong bias toward shipping, with the judgment to know when something needs more time
- Clear communicator in writing and in person, whether the audience is a CFO or a frontline user
- Able to manage work across multiple teams at the same time without losing track of priorities
- Team-oriented and low-ego, with a genuine interest in helping colleagues succeed
- 5+ years software engineering experience with direct and meaningful stakeholder-facing responsibility
- Track record of shipping AI-powered tools in production environments
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
- Familiarity with the platforms below is expected. Deep expertise across all of them is not
- Experience working within SOC 2 or ISO 27001 environments is a plus
- Background in SaaS or enterprise software preferred
- Prior experience in an embedded or consulting capacity is a strong differentiator
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