Forward Deployed Engineer (AI COE)

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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Excellent verbal and written communication skills.
• Manage stakeholder relationships and expectations.
• 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.

Benefits

• Safe, stable, reliable work environments.
• Medical, dental, and basic life and disability insurance benefits.
• 401k retirement plan.
• Paid time off.
• Annual bonus eligibility.
• A minimum of 7 holidays throughout the calendar year.