AI and Workflow Engineer

Job Description

Job Description

Wego Chemical Group is a global distributor and sourcing partner of chemicals and ingredients. We are an established player in the global specialty chemical markets, providing end-use manufacturers across industries in North America, LATAM, & EMEA with end-to-end supply chain solutions from across the globe. Our team has been operating for over 45 years, serving customers in over 25 countries, with 200+ professionals in 9 offices strategically located across 4 continents. Proudly family-owned and operated, Wego is led by two generations of leadership who bring passion, vision, and a long-term commitment to our partners' success.

Job Summary 

The AI and Workflow Engineer is responsible for finding, building, and running AI automation across Wego's business processes. Working in a forward-deployed model, this role sits with business teams to identify the workflows and processes AI can automate, then designs and delivers solutions using Claude, Microsoft Power Automate / Power Platform, and Microsoft Copilot. The role connects the AI stack to Wego's core enterprise systems, including Oracle ERP, Oracle OTM, Salesforce, and SAP Concur, and owns each solution from first prototype through production support. 

Responsibilities 

• Partner with business teams across Wego to map processes, size transaction volumes, and identify and prioritize AI automation opportunities, starting with quick wins. 

• Design, build, test, and deploy AI agents, workflows, and applications using Claude, Power Automate / Power Platform, and Copilot, selecting the right tool, or combination of tools, for each task. 

• Build and consume REST APIs and webhooks to integrate AI solutions with Oracle ERP, Oracle OTM, Salesforce, SAP Concur, and other business applications. 

• Develop Claude skills, connectors (MCP servers), Cowork tasks, and scheduled tasks for repeatable business workflows. 

• Build event-driven agents that start automatically from system events, such as a new high-priority service ticket, using API triggers, webhooks, the Claude Agent SDK, and Power Automate. 

• Develop applications on the Claude API with structured JSON outputs, using Claude Code as a core development tool. 

• Write and maintain Python or JavaScript services, scripts, and user interfaces, using Git for source control and code reviews. 

• Work with SQL, vector, and graph databases to prepare, store, and retrieve data for AI solutions. 

• Build testing, evaluation, and prompt engineering into every solution to prove accurate output before and after go-live. 

• Monitor token usage, cost per run, and model selection to keep solutions cost-effective. 

• Apply security and governance controls, including least-privilege access, secrets handling, skill vetting, and human approval checkpoints. 

• Work closely with the Enterprise Applications and IT Operations teams on integrations, system changes, and ongoing support. 

• Document designs, procedures, and controls, and train business users on new solutions. 

• Track emerging AI technologies and best practices and share recommendations with IT and business leaders. 

Key Qualifications 

• Bachelor’s degree in computer science, software engineering, information technology, data science, artificial intelligence, or a related field preferred; equivalent hands-on experience will be considered in place of a degree. 

• 2–4 years of hands-on experience building automation, integration, or AI solutions for business users. 

• Track record of shipping AI solutions into production that business users run day to day. 

• Proficiency in Python or JavaScript; working knowledge of HTML and CSS. 

• Strong SQL skills and experience with vector and graph databases. 

• Hands-on experience building and consuming REST APIs and webhooks. 

• Experience building with large language models and generative AI, preferably Claude (Claude API, skills, MCP, Claude Code, Agent SDK). 

• Experience with Microsoft Power Automate / Power Platform and Microsoft Copilot. 

• Understanding of LLM token cost, model selection, and cost optimization. 

• Solid software development fundamentals, including testing, debugging, Git version control, and object-oriented programming. 

• Knowledge of security practices for AI and integrations, including least privilege, secrets management, and human-in-the-loop approval. 

• Experience integrating with ERP or CRM platforms such as Oracle ERP Cloud, Oracle OTM, Salesforce, or SAP Concur preferred. 

• Familiarity with cloud platforms (Azure, AWS, or Google Cloud) preferred. 

• Strong business sense, with the ability to turn a process problem into a practical automation and explain it to non-technical users. 

• Excellent communication skills; self-directed, works well independently and within a team, and is open about skill gaps and how to close them.