Senior AI Delivery Lead - Remote

EBSCO Information Services, Inc.; Austin (TX); À distance; USD 197 000 - 282 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision

Retirement plan

PTO & Holidays

Parental Leave

Mentoring program

Remote-friendly culture

Résumé du poste

EBSCO Information Services is standing up a forward-deployed AI delivery capability within its Data & AI organization. We are hiring a Delivery Lead to guide a pod of AI Engineers, partnering with Product, Security, Customer Service, and Operations to deliver AI that improves speed, quality, and cost.

This is a hands-on, player-coach role with executive sponsorship and a live backlog from day one. You will own the delivery roadmap, set technical direction, and ensure reusable patterns and

Qualifications

• 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
• 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

Responsabilités

• 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

Connaissances

Team leadership

AI delivery experience

Cloud-native (AWS)

Cross-functional communication

Hands-on agentic AI

Executive stakeholder management

Production AI/ML systems

LLM orchestration

Outils

AWS

Description du poste

EBSCO Information Services is standing up a forward-deployed AI delivery capability within its Data & AI organization. We are hiring a Delivery Lead to guide a pod of AI Engineers, partnering with Product, Security, Customer Service, and Operations to deliver AI that improves speed, quality, and cost.

This is a hands-on, player-coach role with executive sponsorship and a live backlog from day one. You will own the delivery roadmap, set technical direction, and ensure reusable patterns and