AI Solutions Engineer - Senior Manager
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-05-15
Listing for:
Anson McCade
Full Time
position Listed on 2026-05-15
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
About the Role
We are seeking an experienced AI Solution Engineer to bridge the gap between industry-focused architects who identify AI opportunities and the engineering teams who bring solutions to life.
In this role, you will shape AI solutions from early-stage concepts through to technical prototypes — ensuring they are both commercially valuable and technically feasible. Acting as a trusted advisor, you will help clients understand how AI can solve real business challenges, demonstrating technical excellence and the art of the possible.
You will work closely with sales teams, architects, and technical specialists to design, validate, and showcase AI and ML solutions using leading hyperscaler platforms.
What You’ll Be Doing- Support early-stage sales conversations by helping non-technical teams understand AI capabilities and solution options.
- Design, build, and present cloud-based AI prototypes that bring proposed solutions to life.
- Translate customer challenges into viable and feasible AI/ML solutions that deliver measurable outcomes.
- Advise clients on technical requirements, dependencies, risks, and success criteria.
- Demonstrate deep knowledge of AI technologies and platforms to showcase credibility during proposals and client engagements.
- Extensive experience working closely with sales teams to shape enterprise-grade software or AI solutions.
- Strong expertise in AI Model Architecture
, including LLMs and SLMs — with an understanding of performance, suitability, training needs, and deployment approaches. - Practical hands‑on experience with at least two hyperscaler AI platforms
, such as: - AWS Bedrock / Sage Maker
- OpenAI
- Solid understanding of statistics, machine learning, data science fundamentals, data engineering, and big data concepts.
- Knowledge of the process, data prerequisites, and success criteria required to deliver AI solutions that meet business needs.
- Understanding of cloud security, landing zones, and Fin Ops
, particularly relating to AI cost optimisation.
Position Requirements
10+ Years
work experience
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