Forward Deployed AI Engineer

The Forward Deployed AI Engineer is a hands-on builder who turns high-value business opportunities into secure, production-ready AI solutions. This role partners directly with business teams, architects, data teams, and platform owners to prototype, build, integrate, test, deploy, and continuously improve AI applications, agents, automations, and retrieval-augmented generation solutions that improve efficiency, decision quality, and measurable business value across The Andersons., * Build and deploy enterprise AI applications, agents, and automations using Microsoft Copilot Studio, Power Automate, Azure OpenAI, Python, APIs, and modern application frameworks.

• Work with business teams to identify manual workflows, define success measures, and convert opportunities into usable AI-powered solutions.
• Design and implement RAG solutions that connect AI experiences to trusted enterprise systems, documents, data sources, and approved knowledge repositories.
• Integrate solutions with Microsoft Graph, Microsoft 365, SharePoint, Teams, Dataverse, SQL, SAP Datasphere, and other business platforms.
• Develop prompts, connectors, orchestration logic, reusable components, and implementation patterns that accelerate delivery and supportability.
• Validate solution quality through testing, monitoring, AI evaluation, feedback loops, security review, and post-deployment improvement.
• Deploy and operate solutions in Azure using source control, CI/CD, logging, observability, cost awareness, security, and governance practices.
• Partner with architects, data teams, and stakeholders to explain solution performance, adoption needs, and value realization.

• In-depth knowledge and experience
• Uses existing solutions to resolve complex issues
• Works independently; receives minimal guidance
• Acts as a resource for colleagues with less experience

Competencies Expected of You and Others at This Level

• Manages Conflict - Handles conflict situations effectively with a minimum of noise
• Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Decision Quality - Makes good and timely decisions that keep the organization moving forward
• Demonstrates Self-Awareness - Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses
• Directs Work - Provides clear direction, delegation, and removes obstacles to get work done
• Resourcefulness - Secures and deploys resources effectively and efficiently, * Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, Data Science or related field required
• 5-10 years’ relevant experience required
• 2 years building AI, Copilot, generative AI, automation, or machine learning-enabled solutions for production development or enterprise pilots
• Experience turning business workflows into working applications, agents, integrations, or automations that deliver measurable operational value
• Experience integrating enterprise solutions with business systems, data platforms, APIs, and governed cloud environments

Technical Skills Required

• Python development for AI-enabled applications, services, agents, and automations.
• Microsoft Copilot Studio, Power Automate, Azure OpenAI, and modern AI application development patterns.
• REST APIs, secure authentication, connector design, tool/function calling, and enterprise integration patterns.
• Prompt engineering, orchestration logic, agent workflows, human-in-the-loop processes, and multi-step automation design.
• RAG patterns including ingestion, chunking, embeddings, retrieval, grounding, citations, evaluation, and feedback loops.
• Microsoft Graph, Microsoft 365, SharePoint, Teams, Dataverse, SQL, Azure application development, monitoring, and operational support.
• Data governance, data quality, trusted-source practices, and business value measurement.

Technical Skills Preferred

• C#/.NET, TypeScript, or JavaScript for enterprise application integration.
• Vector databases, semantic search, document intelligence, knowledge management, or enterprise search architecture.
• SAP Datasphere or SAP integration experience.
• Docker, infrastructure automation, advanced monitoring, or observability tools.
• Microsoft Azure, Power Platform, or AI-related certifications.
• Experience delivering AI or automation solutions in regulated, security-conscious, or governance-driven enterprise environments.

As a North American leader in agribusiness and renewable fuels, The Andersons operates in a unique space, bringing together agriculture, energy, and global markets. From the farm to customers around the world, we help move food, feed, and fuel where it’s needed most.

Our business spans the full value chain, which means the work we do directly supports farmers, customers, and communities every day. Whether it’s helping producers succeed, delivering essential products, or advancing more sustainable energy solutions, our impact is both local and global.

What truly sets us apart is how we work together. We are a performance-driven, people-powered organization where employees are owners, sharing in our success and helping shape our future. We invest in our team through development opportunities, meaningful career paths, and a culture that encourages growth, collaboration, and continuous improvement.

At the core of everything we do is our Statement of Principles. We are committed to providing extraordinary service to our customers, helping our employees improve, supporting our communities, and increasing the value of the company for our shareholders.