AI Lead Solutions Engineer -Forward Deployed

Glasgow Source: WhatJobs

See advert for pay

Overview

As an AI Solutions Engineer (Forward Deployed) at VP level, you embed with business teams to uncover AI value and design end-to-end solutions. You lead rapid prototyping, demo value quickly, and collaborate with the core AIML team to productionise. You translate business needs into funded, scoped workstreams and ensure governance and quality throughout. You will mentor and uplift junior engineers while championing a culture of diversity and inclusion.

Responsibilities

Embed with IPB advisors and business partners to discover high-value AI/ML opportunities
Prototype and build end-to-end agentic AI and LLM-powered solutions to demonstrate value
Own end-to-end delivery: problem framing, build, demo, iteration, and hand-off to production
Act as technical translator between business stakeholders and engineering to scope funded workstreams
Balance rapid iteration with engineering guardrails, observability, and Responsible AI
Contribute reusable patterns and learnings to the platform for compound value
Mentor junior engineers and support GenAI education and knowledge-sharing
Advocate for diversity, inclusion, and respectful collaboration

Key requirements

Formal AI/ML engineering training or certification
Advanced Python and full-stack engineering ability (backend, data, lightweight frontend)
Fluent with AI coding tools (Claude Code, GitHub Copilot)
Hands-on experience with LLMs, prompt engineering, RAG, or agentic frameworks
Experience taking solutions from prototype to production (CI/CD, containerisation, cloud-native)
Ability to work with non-technical stakeholders to elicit needs and build trust
Comfort with ambiguity and fast context-switching across domains
Product mindset focusing on user value and outcomes
Commercial acumen to frame success metrics and funding cases
Master's degree in Computer Science, Data Science, Engineering, or related field