Forward‑Deployed AI Delivery Lead — Remote

EBSCO Information Services, Inc.; Concord (NH); Remote; USD 197,000 - 282,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Hybrid/Remote work policy

Mentoring program

Job summary

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 an AI Engineering pod and partner with sponsors across Product, Security, and Operations to ship AI that moves speed, quality, and cost.

You will own the delivery roadmap, set technical direction for production agentic systems, and build reusable patterns and guardrails that scale.

Qualifications

• 10+ years in software, product, or AI delivery.
• 3+ years leading teams that shipped AI-powered production software.
• 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.

Responsibilities

• 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

Skills

Agentic AI

LLM orchestration

RAG / vector search

Prompt engineering

Cross-functional leadership

Cloud-native architecture

Executive communication

Education

SAFe certification

PMP certification

Tools

AWS

MCP

LLM observability

Job description

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 an AI Engineering pod and partner with sponsors across Product, Security, and Operations to ship AI that moves speed, quality, and cost.

You will own the delivery roadmap, set technical direction for production agentic systems, and build reusable patterns and guardrails that scale.