Note: The job is a remote job and is open to candidates in USA. Infor is hiring a Technical Solution Consultant to help customers connect business objectives with AI, machine learning, and automation solutions. The role builds and demonstrates prototypes, advises on solution architecture and responsible AI, and translates technical opportunities into measurable business value.

Responsibilities

• Participate in discovery and strategy sessions that connect business objectives to AI, machine learning, and automation opportunities
• Assist in building, configuring, and demonstrating working prototypes—including AI agents, chat-based experiences, utilizing RAG, MCP servers, ML models, and automated workflows—instead of relying solely on prebuilt assets
• Assist in designing and delivering transformative demonstrations and support workshops for customers/partners including demonstrating both the technical architecture and the business case
• Apply business domain knowledge to customer conversations — challenging and shaping process design across functions such as supply chain, manufacturing, finance, asset management, and human capital, and grounding every technology recommendation in how the business actually runs
• Assist in architecting end-to-end target-state solutions spanning integration, data, and cloud — defining migration paths, non-functional requirements, and the platform foundations that make AI and automation production-ready
• Maintain standards for Responsible AI in customer engagements, including evaluation, guardrails, data governance, security, and human oversight
• Partner with sales, product, engineering, and delivery teams to capture customer insight into the AI and automation roadmap
• Maintain and develop knowledge in the AI and automation landscape — foundation models, agent frameworks, AI-assisted development tools, and emerging platform capabilities

Skills

• Experience with Generative AI, AI assistants, and Large Language Models (LLMs) and prompt engineering concepts for effective AI utilization
• Experience building and working with AI agents and agentic business processes — assisting in the design of multi-step, MCP or tool-based agents and orchestrating them across enterprise systems
• Experience with machine learning fundamentals — supervised and unsupervised techniques, feature engineering, model evaluation, and the practical limits of ML on enterprise data
• Experience with Python or a comparable language, SQL, REST APIs, and SDKs sufficient to build and troubleshoot prototypes independently
• Experience with AI-assisted development tools such as Claude Code, Codex, or AWS Kiro
• Experience working with automation and integration tools and processes — iPaaS, workflow orchestration, RPA, event-driven architectures, APIs, and data synchronization patterns that put AI into end-to-end business processes
• Data foundations for AI experience — data lakes, data quality, pipelines, vector stores and embeddings, and analytics or dashboards that surface AI-driven insight
• Responsible AI experience — validation, bias and hallucination testing, governance, security, privacy, and human-in-the-loop oversight
• Business translation experience — quantifying AI and automation opportunities into measurable outcomes and communicating them credibly to both engineers and executives
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future
• Bachelor's degree in computer science, Information Technology, Business, Engineering, or a related field
• Experience in solution consulting, pre-sales engineering, and/or enterprise software development and consulting
• Experience delivering AI/ML, GenAI, or automation solutions
• Experience with cloud platforms and their AI services, automation platforms, enterprise applications, and integration technologies
• Experience presenting and/or sharing technical information with various levels within an organization

Benefits

• Fully remote work arrangement

Company Overview