首席人工智能交付负责人
Principal AI Delivery Lead
EBSCO Information Services（EBSCO）提供一个完全优化的研究体验，无缝集成到强大的发现平台中，以满足最终用户的信息需求并最大化他们的研究体验。总部位于马萨诸塞州伊普斯维奇，EBSCO在全球拥有超过2,700名员工，大多数采用混合或远程工作模式。作为一家具备人工智能能力的服务领导者，我们致力于创新、前瞻性策略以及卓越团队的奉献精神。在EBSCO，我们致力于激发、赋能并支持研究。我们的使命是通过提供可靠且相关的信息来改变人们的生活——在人们需要的时间、地点和方式。我们正在寻找充满活力、富有创造力的个体，他们多元化的视角将帮助我们实现这一全球性、包容性的使命。加入我们，一起创造影响。
你的机会
EBSCO正在其数据与人工智能部门建立一个前移部署的AI交付能力——一个小型小组结构，将实际业务问题转化为生产级AI系统，并将其交还给负责的团队。我们正在招聘一名交付负责人来领导这个团队。
这是一个球员兼教练的角色，要求能够为代理型AI系统设定技术方向，运行规范的输入→构建→交接交付模型，并建立可重复的内部能力。你将带领一支AI工程师团队，并与产品、安全、客户服务和运营部门的发起人合作，交付能显著提升速度、质量和成本的AI。同样重要的是，你将留下可复用的模式、评估和保障机制，让EBSCO的其他团队更快地前进。你将从零开始加入一个获得资金支持、由高管支持的团队，第一天就有一个待处理的待办事项清单！
你将负责
· 领导前移部署工程小组：负责成果、交付路线图以及团队的成长和绩效
· 运营该模型：根据价值/可行性/数据风险对输入需求进行评分，限定项目时间范围，并确保清晰的交接，使接收团队能够拥有、运营并扩展你所构建的内容
· 为生产级代理系统设定技术方向：编排和长期运行的工作流、RAG/企业搜索、人机协同、受控的工具和数据访问（例如MCP），以及自定义模型模式
· 建立交付基础：评估框架、负责任的AI保障机制、大语言模型可观测性，以及可在各项目中不断积累的可复用模式目录
· 负责服务成本：
查看英文原文
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 small pod structure that turns real business problems into production AI systems and hands them back to the teams that own them. We are hiring a Delivery Lead to 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 build repeatable internal capabilities. You will lead a team of AI Engineers and partner with sponsors across Product, Security, Customer Service, and Operations to ship AI that measurably moves speed, quality, and cost. Just as important, you will leave behind reusable patterns, evaluations, and guardrails that let the rest of EBSCO move faster. You will join at the ground floor of a funded, executive-sponsored team with 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 & AI Organization (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 shipped AI-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.Originally posted on Himalayas