18 days ago
Remote, United StatesStaff+
Responsibilities
- Lead discovery and strategy sessions connecting business objectives to AI, machine learning, and automation opportunities.
- Build, configure, troubleshoot, and demonstrate working AI agents, chat experiences, RAG solutions, MCP or tool-based agents, ML models, and automated workflows.
- Design and deliver customer and partner demonstrations and workshops covering technical architecture and business value.
- Apply domain knowledge across supply chain, manufacturing, finance, asset management, and human capital to shape process and solution design.
- Architect target-state integration, data, cloud, migration, and platform solutions that make AI and automation production-ready.
- Maintain Responsible AI standards covering evaluation, guardrails, data governance, security, privacy, and human oversight.
- Partner with sales, product, engineering, and delivery teams to incorporate customer insights into AI and automation roadmaps.
- Develop the consulting organization’s technical depth and maintain knowledge of foundation models, agent frameworks, AI-assisted development tools, and emerging platforms.
Requirements
- Experience with Generative AI, AI assistants, Large Language Models, and prompt engineering.
- Experience building AI agents and agentic business processes, including multi-step, MCP, or tool-based agents across enterprise systems.
- Experience with supervised and unsupervised machine learning, feature engineering, model evaluation, and enterprise ML limitations.
- 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 with iPaaS, workflow orchestration, RPA, event-driven architectures, APIs, and data synchronization patterns.
- Experience with data lakes, data quality, pipelines, vector stores, embeddings, analytics, or dashboards for AI-driven insights.
- Experience with Responsible AI validation, bias and hallucination testing, governance, security, privacy, and human oversight.
- Experience translating AI and automation opportunities into measurable outcomes for engineers and executives.
- Bachelor’s degree in computer science, Information Technology, Business, Engineering, or a related field is preferred.
- Preferred experience includes solution consulting, pre-sales engineering, enterprise software development or consulting, AI/ML or automation delivery, cloud platforms and AI services, enterprise applications, integration technologies, and technical presentations.
- Must be legally authorized to work permanently in the United States for any employer without requiring visa transfer or sponsorship now or in the future.
- Ability to travel 30–40% or more as needed.
Benefits
- US remote location with listed locations in Atlanta, Georgia and Dallas, Texas.
- Requires 30–40% or more travel as needed.
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. Here are some key insights: • 60,000+ customers • 100+ offices • 1,700+ support experts • 2,000+ partners • 17,000+ employees • 175+ countries where customers are located • 15,000+ cloud customers • 40+ countries with Infor offices