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

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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsGen AILLMschatbotsdeployment pipelinesCI/CDDevOpsMachine LearningPythonSQL

Soft Skills

communication skillsleadershipknowledge sharingtraining