AI Engineer — Indianapolis, IN

What You Will Do

The AI Engineer works directly with rTUt xy clients to design and deliver AI solutions that fit how their teams work. Working as a forward-deployed engineer, you will embed with client teams, learn their processes, and build the automations, AI assistants, and integrations that save them time. The best fit is a hands-on builder who is comfortable in client meetings, curious about how businesses run, and focused on solutions that hold up in the real world.

Key Responsibilities

1) Client Solution Delivery (Primary)

• Lead discovery sessions with client stakeholders to map how work gets done today and where AI and automation can help most.

• Design solutions that fit each client's systems, data, and security requirements, and scope them with clear effort and expected outcomes.

• Build and deploy automations, AI assistants, and integrations using platforms such as Claude, n8n, Microsoft Power Automate, and REST APIs.

• Connect AI tools to client systems such as Microsoft 365, SharePoint, and line-of-business applications.

• Work on-site and virtually alongside client teams as an extension of their staff during engagements.

• Test with sample or client-approved data, and launch with documentation that clients and teammates can support.

• Support scoping and effort estimates for new client projects.

2) Tier 2 Support & Continuous Improvement

• Handle AI and automation requests, including integration issues, configuration changes, and fixes to delivered solutions.

• Monitor solutions in production and improve accuracy, reliability, and performance over time.

• Measure results such as time saved and adoption, and share them with clients.

3) Responsible AI & Security

• Build with security and data privacy in mind, including access control, data handling, and logging.

• Help clients apply their AI governance and acceptable-use policies in the solutions you deliver.

This hybrid role is based out of our Indianapolis headquarters and includes travel to client sites, primarily in Indiana.

What You Have Done

Qualifications

Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent work experience.

Experience: 3+ years building automations, integrations, or software, including client-facing or consulting work.

Technical Skills:

• AI & LLM Platforms:

• Hands-on experience building with LLM APIs such as Claude or OpenAI, including prompts, agents, and retrieval (RAG).

• Familiarity with MCP servers, connectors, or tool use is a plus.

• Automation & Integration:

• Experience building production workflows in n8n, Power Automate, or similar platforms.

• Experience with REST APIs, webhooks, JSON, and authentication methods (OAuth, API keys).

• Scripting & Development:

• Proficiency in Python or JavaScript/TypeScript. PowerShell is a plus.

• Comfortable with Git and version control.

• Microsoft 365 & Cloud:

• Working knowledge of Microsoft 365, SharePoint, Entra ID, and Microsoft Graph.

• Experience deploying and hosting solutions in Azure or a similar cloud platform.

• Nice to Have:

• Experience at an MSP, consulting firm, or professional services company.

• Experience with vector databases or search indexing.

• Experience working with sensitive data in regulated industries such as legal, healthcare, or government.

Soft Skills:

• Comfortable leading client conversations and explaining technical ideas in plain language.

• Curious about how businesses run, and asks good questions before building.

• Takes ownership of solutions from discovery through support.

• Clear written communicator who documents work so others can support it.

• Organized and accountable when managing several client engagements at once.

Certifications (Preferred but not required):

• Anthropic Claude certifications

• Microsoft Azure AI Engineer Associate (AI-102) or Power Platform certification

• n8n or other workflow automation platform certifications