AI Delivery Lead: Forward-Deployed & Remote

EBSCO Information Services, Inc.; Baton Rouge (LA); Remote; USD 169,000 - 282,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

Retirement Savings Plan

Paid Parental Leave

Holidays and PTO

Mentoring program

Remote-friendly policy

Job summary

EBSCO Information Services, Inc. is seeking a Delivery Lead to head a Forward-Deployed Engineering pod within its Data & AI Organization.

You will set technical direction for agentic AI systems and run a disciplined intake → build → hand-off delivery model, collaborating with Product, Security, Customer Service, and Operations to ship AI that improves speed, quality, and cost. You will be responsible for building reusable patterns, guardrails, and observability, ensuring scalable, responsible AI

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.
• 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.

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

AI delivery

Team leadership

Production AI/ML ownership

LLM orchestration

RAG / vector search

Executive stakeholder alignment

Education

SAFe Certification

PMP Certification

Cloud ML/AI Certification

Job description

EBSCO Information Services, Inc. is seeking a Delivery Lead to head a Forward-Deployed Engineering pod within its Data & AI Organization.

You will set technical direction for agentic AI systems and run a disciplined intake → build → hand-off delivery model, collaborating with Product, Security, Customer Service, and Operations to ship AI that improves speed, quality, and cost. You will be responsible for building reusable patterns, guardrails, and observability, ensuring scalable, responsible AI