AI Solutions Analyst

RESPONSIBILTIES:

• Work directly with business stakeholders to identify high-value problems, understand current-state processes, and define what a good solution looks like.
• Plan and direct AI-assisted development of custom in-house solutions: internal web and mobile applications, workflow automations, agents, scripts, reporting, and data pipelines.
• Review and test what gets built and own the result once it ships.
• Build and maintain integrations with our core SaaS platforms, including Salesforce, ServiceNow, NetSuite, Dayforce, and Microsoft 365, using REST APIs, webhooks, and MCP servers.
• Extend what Claude can do inside Wachter: MCP servers and connectors, skills, subagents, and the project context and rules that make these tools effective for everyone else.
• Take solutions all the way through testing, documentation, deployment, user onboarding, and post-launch support.Build and support AI capabilities for other employees, including internal tooling, enablement content, and hands-on coaching for departmental power users.
• Operate inside our AI governance framework: approved tools, acceptable use, data classification, and identity and access standards.
• Track and report on adoption, time saved, and business impact so we know what's working and what isn't.

QUALIFICATIONS:

• Real hands-on experience with Claude, especially Claude Code, and something you have built with it. Personal projects count. Experience with comparable agentic coding tools works too if you can show the work.
• Solid debugging instincts. When something breaks, you can trace it through logs, data, and integration points.
• Genuinely strong communication skills. You can run a discovery conversation with a non-technical stakeholder, push back on a bad idea respectfully, and explain a technical tradeoff in plain language.
• Working understanding of REST APIs, JSON, authentication, and webhooks.
• Familiarity with source control and structured development practices (Git/GitHub, issues, code review).Good judgment about when a process should be automated, when it should be fixed first, and when it should be left alone.
• Ability to own work end to end with minimal direction, and to manage several efforts at once.
• Sound instincts around data handling, security, and confidentiality.
• Occasional after-hours work may be required during deployments and cutovers.

• Bonus points for:A background in software development, systems integration, business analysis, or solutions engineering.
• The ability to read code and judge whether it's correct, safe, and maintainable. Writing it from scratch matters less than knowing good from bad.
• Comfort across a mixed stack: TypeScript/JavaScript, React, Node, Python, C#, PostgreSQL, and T-SQL. You don't need all of them, but you should pick up an unfamiliar one quickly.
• Experience building MCP servers, custom connectors, agent workflows, or Claude skills.
• Microsoft 365 development against the Microsoft Graph API, including app registrations, permission scopes, and Entra ID authentication.
• Experience with enterprise SaaS platforms from an administration, configuration, functional or integration standpoint, particularly Salesforce, ServiceNow, NetSuite, or Dayforce.
• Familiarity with Docker, Next.js, Node.js, or self-hosted application deployment.
• Construction, field services, or other operationally complex industry experience.

Benefits Package: Company Paid!