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AI Solutions Engineer
Not specifiedFull-timeAI EngineeringEnterprise Software
Design and implement customer-specific AI solutions, agents, and automated workflows. Partner with customers and internal teams to deliver integrations, training, and ongoing improvements.
Responsibilities
- Understand customers’ technical environments, business processes, and AI workflows, then design and build suitable solutions.
- Build and deploy AI-powered workflows, MCP automations, and platform features tailored to customer needs and their integration landscapes.
- Use LLMs, AI, APIs, webhooks, data pipelines, and automation scripts to deliver solutions.
- Lead technical AI sessions, review requirements, demonstrate solutions, help build agents, and train users.
- Explain technical and AI concepts in terms of clear business value and advise customers on solutions.
- Identify and resolve technical blockers amid ambiguity and incomplete information.
- Develop reusable integration libraries, prompt templates, and AI workflow scaffolding.
- Share deployment insights and recurring patterns with Product and Engineering teams to inform improvements and new features.
- Monitor deployed solutions and drive continuous improvement.
Requirements
- At least 3 years of hands-on experience in implementation roles, including at least 1 year building and implementing MCP-based agents and skills.
- Strong understanding of MCP architecture and implementation.
- Hands-on experience building AI agents and skills with tools such as Claude and Copilot.
- Experience with low-code/no-code automation tools such as Zapier, Make, or n8n, and ability to develop custom code-based solutions.
- Experience in a technical, customer-facing SaaS role such as solutions engineering, implementation, or technical consulting.
- In-depth knowledge of CRM systems such as Salesforce, HubSpot, or Dynamics, as well as ERP and billing tools.
- Strong analytical and systems-thinking skills, including reasoning about data models, integration architecture, and failure modes.
- Excellent written and verbal English, including the ability to present technical architectures and business cases.
- Ability to manage multiple complex customer engagements simultaneously.
- A degree in Computer Science, Information Technology, Industrial Engineering, Information Systems, or an equivalent field.