About this opportunity
Ebsco-Information-Services lists this Principal AI Delivery Lead opportunity in ipswich, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we’re driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information — when, where and how people need it. We’re seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact. Your Opportunity
EBSCO is standing up a forward-deployed AI delivery capability inside its Data&AI organization-a smallpodstructurethat turnsreal businessproblems into production AI systems and hands them back to the teams that own them. We are hiring aDelivery Leadto lead it.
This is a player-coach role for someone who can set technical direction for agentic AI systems, run a disciplined intake → build → hand-off delivery model, and buildrepeatableinternalcapabilities. You will lead a team ofAI Engineersand partner with sponsors across Product, Security, Customer Service, and Operations to ship AIthat measurablymovesspeed, quality, and cost. Just as important, you will leave behind reusable patterns, evaluations, and guardrails that let the rest of EBSCO move faster. You willjoin atthe ground floor of a funded, executive-sponsoredteamwith a live backlog waiting on day one!
What You'll Do
Lead the Forward-Deployed Engineering pod: Own the outcomes, the delivery roadmap, and the growth and performance of the team
Run the operating model:Score inbound demand on value / feasibility / data-risk, time-box engagements, and enforce a clean hand-off so the receiving team can own,operate, and extend what you build
Set technical direction for production agentic systems: Orchestration and long-running workflows, RAG / enterprise search, human-in-the-loop, governed tool and data access (e.g., MCP), and bring-your-own-model patterns
Stand up the delivery foundations:An evaluation harness, responsible-AI guardrails, LLM observability, and a reusable pattern catalog that compounds across engagements
Own cost-to-serve:Model selection, small-language-model migration, prompt caching, and token economics
Partner with named business sponsors to convert their use cases into shipped, adopted systems
Work alongside strategic delivery vendors as accelerants while protecting EBSCO IP ownership
Instrument and report impact on a Speed / Quality / Cost / Learning scorecard and communicate back to SLT
Scale the capability: Mature the pod and seed the embedded champion (“spoke”) network so applied-AI delivery scales without the central team becoming the bottleneck
Your Team
You will lead the Forward-Deployed Engineering (FDE) team, the delivery engine of EBSCO’s AI operating model, within the Data& AIOrganization(DAIO), reporting to the VP, Head of AI. You will work the enterprise’s highest-value applied-AI and automation use cases, backed by a standing backlog, direct executive sponsorship, and a clear mandate to define how AI delivery gets done at EBSCO. This is a build-it role, with the autonomy that comes with it.
About You
10+ years in software, product, or AI delivery, including 3+ years leading teams that shippedAI-powered production software
Demonstrated ownership of production AI/ML or generative-AI systems end-to-end from solution design through production rollout and adoption not just prototypes or strategy decks
Hands-on fluency with modern agentic AI such as LLM orchestration, RAG / vector search, human-in-the-loop design, prompt engineering, and agent evaluation
Proven track record partnering with delivery and implementation teams to take enterprise use cases into production and hand them off cleanly
Strong grounding in responsible AI, evaluation frameworks, and guardrails. Ability to define “done” for a production agent
Cloud-native (AWS preferred); comfortable setting architecture direction and earning the trust of engineers
Player-coach mindset: Lead, manage, and represent the team to executives; Hands-on enough to be credible with a small, elite team
Excellent cross-functional communication. Technical and business fluency translating between executive sponsors, business stakeholders, and engineers
What Sets You Apart
Experience commercializing or productizing AI at scale: Hyperscaler marketplace launches, ARR ownership, or platform productization
Cost-optimization depth: Small language models, fine-tuning, prompt caching, token-economics modeling
Background in information services, publishing, or other content-rich enterprises
Experience standing up a new team or capability from ground-up
Relevant certifications (cloud ML/AI engineering, SAFe, PMP)
Pay Range
USD $197,300.00 - USD $281,860.00 /Yr.
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Worksite address
ipswich, MA, 01938, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.