Forward Deployed Engineer (AI COE)
Role details
Job location
Tech stack
Job description
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Embed with business stakeholders to deeply understand workflows, pain points, and opportunities for AI-driven improvement.
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Scope, architect, and deliver end-to-end AI solutions, from data ingestion, prompt engineering, skill and agent build through deployment, monitoring, and iteration.
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Leverage the CoE's core AI platform, working closely with Platform Engineers to extend tooling and surface platform gaps.
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Ship flagship use cases that establish repeatable delivery patterns for the broader team.
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Collaborate with Business Analysts to quantify use-case value, prioritize the engagement pipeline, and measure post-deployment impact.
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Partner with Solutions Architects and Data & Integration Engineers to ensure solutions integrate cleanly with enterprise systems and data sources.
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Document solution architectures, runbooks, and lessons learned to accelerate future engagements and enable developer enablement across the enterprise.
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Consistently deliver high-quality software and processes in usable increments.
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Mentor and onboard new Forward Deployed Engineers as the team scales.
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Grow and maintain a broad and deep knowledge of supply chain operations and the ways AI can be applied to them.
Requirements
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University degree in computer science, software engineering, or a related field and/or >10 years of relevant work experience.
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4+ years of experience in software engineering, applied ML/AI, or solutions engineering, with direct client- or stakeholder-facing delivery.
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Experience with enterprise AI platforms such as Claude Enterprise, OpenAI (ChatGPT Enterprise), or other similar tools is a plus.
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Proficiency in Python and experience with modern AI/ML tooling (LLM APIs, agent frameworks, vector databases, RAG pipelines).
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Demonstrated ability to take a project from an ambiguous business need to a production-grade solution with minimal oversight.
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Experience working in fast-paced, early-stage, or consulting-style environments where scope and priorities shift frequently.
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Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data infrastructure.
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Track record of shipping AI/ML use cases in enterprise environments (financial services, healthcare, manufacturing, logistics, or similar) is a plus.
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Experience building with agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) and evaluating model outputs systematically is a plus.
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Previous exposure to supply chain technologies including WMS, TMS, YMS, and related systems is a plus.
Required Skills and Abilities:
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Demonstrate excellent verbal and written communication skills, including the ability to present to business leaders and translate technical concepts.
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Manage stakeholder relationships and expectations across multiple engagements.
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Possess a willingness to be coached and proactively seek feedback.
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Manage multiple assignments / projects simultaneously.
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Properly set priority and order for work.
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Work in a fast-paced, agile environment.
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Ask for help and provide it to others.
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Understand your skills and your talents and apply them appropriately.
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Learn and apply modern technologies and business concepts.
Benefits & conditions
Lineage provides safe, stable, reliable work environments, medical, dental, and basic life and disability insurance benefits, 401k retirement plan, paid time off, annual bonus eligibility, and a minimum of 7 holidays throughout the calendar year.