AI Solutions Engineer - ERP Systems
About The Position
The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager. The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement—while establishing the cloud platform capabilities needed to scale those solutions. You'll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities. This is a fully onsite position located in Richmond, Boston and Kansas District location.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 10+ years in IT/software engineering with hands-on experience in corporate/industry environments
- Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)
- 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity
- Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions
- Experience with deployment pipelines, CI/CD, or DevOps practices
- Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production
- Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments
- Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)
- Data management: SQL, data pipelines, data quality assessment
- Programming proficiency in Python
Nice To Haves
- Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI
- Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development
- Process workflow automation knowledge/experience
- DevOps/MLOps experience building CI/CD pipelines and automation frameworks
- Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks
- Domain knowledge in HR, finance, or procurement
- AI/ML or cloud certifications
Responsibilities
- Translate business and operational challenges into practical AI opportunities and technical solutions
- Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)
- Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases
- Define and document technical specifications for deploying ERP and AI solutions and capabilities.
- Lead AI projects from concept to production, ensuring business alignment and measurable ROI
- Enable PaaS environments within Workday and SAP to support AI deployments and future custom development
- Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise
- Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems
- Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap
- Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership
- Champion AI literacy through training, demonstrations, and knowledge sharing across the organization
- Provide production support and knowledge training for solutions you deploy
Benefits
- Tuition assistance
- Generous paid time off
- Top-notch health care benefits
- Child and family care leave
- Professional development opportunities
- 401(k) match
- Pension
- Great medical benefits
- Paid volunteer leave
- Onsite amenities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
