Hybrid Enterprise Implementation Lead – AI Solutions

Kernel; Greater London; On-site; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Salary

Holiday 24 days

Office dinner allowance

Work-from-anywhere (2 weeks)

Parental leave

Pension plan

Equipment

Team events

Job summary

Kernel is seeking an Implementation Lead to bridge customer needs and technical execution in enterprise deals. You will translate complex requirements into practical, scalable solutions and ensure proofs of concept are accurate and impactful.

You’ll work with Account Executives, Product and Engineering to address questions, troubleshoot challenges, and shape value-driven deployments. You’ll lead the full implementation lifecycle, architect AI agent solutions with Kernel tooling, and nurture

Qualifications

• 3–7 years in a client-facing analytical or technical role
• Technical fluency (APIs, Javascript) and data systems understanding
• Product sensibility to focus on customer value
• Strong analytical and problem-solving skills
• Comfort navigating ambiguity and solving challenges creatively
• Experience in fast-paced startup environments
• Ability to manage multiple clients and projects

Responsibilities

• Partner with Account Executives in late-stage cycles as the technical expert
• Run and deliver high quality POCs in a timely manner
• Lead and own the full implementation cycle from kick-off to go-live
• Architect, build, and deploy bespoke AI agents using Kernel’s tooling
• Act as trusted advisor for your portfolio of clients
• Provide feedback to the Product team for continual improvement

Skills

Client-facing

APIs

JavaScript

Analytical

Problem-solving

Startup experience

Multi-client management

Communication

Job description

Kernel is seeking an Implementation Lead to bridge customer needs and technical execution in enterprise deals. You will translate complex requirements into practical, scalable solutions and ensure proofs of concept are accurate and impactful.

You’ll work with Account Executives, Product and Engineering to address questions, troubleshoot challenges, and shape value-driven deployments. You’ll lead the full implementation lifecycle, architect AI agent solutions with Kernel tooling, and nurture