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Tech Stack
Tools & technologiesCloudERP
About the role
Key responsibilities & impact- Strengthening capability within AI and automation
- Identifying, shaping, and scaling practical AI and automation opportunities that create measurable business value
- Working at the intersection of ERP, business processes, AI, automation, data, and change
- Translating opportunities into concrete use cases, reusable methods, sales assets, delivery accelerators, and new ways of working
- Supporting sales and delivery by shaping AI positioning and contributing to proposals
- Building reusable methods and assets while applying AI across projects and processes
- Acting as a link between M3 experts and broader AI capabilities
Requirements
What you’ll need- Documented experience in designing and delivering LLM-based AI solutions in enterprise environments, from early-stage design to production
- Experience with modern AI architecture patterns, such as RAG solutions and agent-based setups, including context engineering, prompt design, orchestration, and quality assurance
- Strong experience in integrating AI solutions via APIs, connectors, skills, MCP, or similar patterns with business systems and organizational data
- Solid understanding of security, identity, access control, governance, and responsible AI, and how to apply these in practical solution design within cloud environments
- Knowledge within Infor M3 is not a requirement - but very meritious!
Benefits
Comp & perks- Professional development
- Clear and structured career paths
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLM-based AI solutionsAI architecture patternsRAG solutionsagent-based setupscontext engineeringprompt designorchestrationquality assuranceAPI integrationcloud environments
Soft Skills
communicationcollaborationproblem-solvingcreativityadaptabilitystrategic thinkingproject managementanalytical thinkingstakeholder engagementchange management
