Primary Responsibilities: 

• Embed with business stakeholders to deeply understand workflows, pain points, and opportunities for AI-driven improvement. 

• Scope, architect, and deliver end-to-end AI solutions, from data ingestion, prompt engineering, skill and agent build through deployment, monitoring, and iteration. 

• Leverage the CoE’s core AI platform, working closely with Platform Engineers to extend tooling and surface platform gaps. 

• Ship flagship use cases that establish repeatable delivery patterns for the broader team. 

• Collaborate with Business Analysts to quantify use-case value, prioritize the engagement pipeline, and measure post-deployment impact. 

• Partner with Solutions Architects and Data & Integration Engineers to ensure solutions integrate cleanly with enterprise systems and data sources. 

• Document solution architectures, runbooks, and lessons learned to accelerate future engagements and enable developer enablement across the enterprise. 

• Consistently deliver high-quality software and processes in usable increments. 

• Mentor and onboard new Forward Deployed Engineers as the team scales. 

• Grow and maintain a broad and deep knowledge of supply chain operations and the ways AI can be applied to them. 

Education and Work Experience: 

• University degree in computer science, software engineering, or a related field and/or >10 years of relevant work experience. 

• 4+ years of experience in software engineering, applied ML/AI, or solutions engineering, with direct client- or stakeholder-facing delivery. 

• Experience with enterprise AI platforms such as Claude Enterprise, OpenAI (ChatGPT Enterprise), or other similar tools is a plus. 

• Proficiency in Python and experience with modern AI/ML tooling (LLM APIs, agent frameworks, vector databases, RAG pipelines). 

• Demonstrated ability to take a project from an ambiguous business need to a production-grade solution with minimal oversight. 

• Experience working in fast-paced, early-stage, or consulting-style environments where scope and priorities shift frequently. 

• Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure. 

• Track record of shipping AI/ML use cases in enterprise environments (financial services, healthcare, manufacturing, logistics, or similar) is a plus. 

• Experience building with agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) and evaluating model outputs systematically is a plus. 

• Previous exposure to supply chain technologies including WMS, TMS, YMS, and related systems is a plus. 

Required Skills and Abilities: 

• Demonstrate excellent verbal and written communication skills, including the ability to present to business leaders and translate technical concepts. 

• Manage stakeholder relationships and expectations across multiple engagements. 

• Possess a willingness to be coached and proactively seek feedback. 

• Manage multiple assignments / projects simultaneously. 

• Properly set priority and order for work. 

• Work in a fast-paced, agile environment. 

• Ask for help and provide it to others. 

• Understand your skills and your talents and apply them appropriately. 

• Learn and apply modern technologies and business concepts. 

• Mentor and provide guidance, especially to other technical resources. 

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