Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of AI solutions for enterprise customers.
- Company: Innovative tech firm focused on transformative AI solutions.
- Benefits: Competitive salary, equity options, and impactful work in AI.
- Other info: Remote role with opportunities for significant career growth.
- Why this job: Shape the future of AI while collaborating with industry experts.
- Qualifications: 8+ years in AI/ML consulting and strong Python skills required.
The predicted salary is between 72000 - 108000 £ per year.
Principal AI Solutions Consultant – UK Remote
We are seeking a Principal AI Consultant to lead the design and delivery of AI solutions for our enterprise customers. You will bridge customer strategy and technical execution — turning real-world problems into scalable AI outcomes using our platform, models, blueprints, and services.
This is a customer-facing role requiring deep AI/ML expertise, solution architecture experience, and the ability to lead engagements from discovery to delivery. You’ll work across pre-sales, POVs, training, and deployment — ensuring every customer extracts value from the product stack.
Key Responsibilities
- Act as lead technical advisor to enterprise customers on their AI strategy and architecture
- Translate business goals into AI blueprint solutions using our platform and services
- Lead proof-of-value engagements, model deployments, and customer enablement
- Design fine-tuning, inference, and integration workflows using our AI infrastructure and tools
- Collaborate with Product, Platform Engineering, and Customer Success to ensure solution fit and deployment success
- Contribute to reusable use cases and blueprint libraries
- Represent us in technical discussions with stakeholders, partners, and industry forums
Required Qualifications
- 8+ years in AI/ML consulting, applied data science, or AI solution architecture
- Strong Python, ML frameworks (e.g. PyTorch, TensorFlow), and orchestration tools (e.g., MLflow, Ray, Kubeflow)
- Experience delivering enterprise AI projects — including LLMs, classification, recommendation, or optimization workloads
- Hands-on knowledge of GPU-based training and inferencing pipelines
- Excellent communication and workshop facilitation skills with senior business and technical stakeholders
Success Metrics
- Number of successful POV-to-production conversions
- Time-to-value on delivered AI use cases
- Customer NPS and satisfaction from technical leadership
- Reusability of delivered architectures in industry blueprints
Why Join Us
- Deliver transformational AI in sovereign and sustainable environments
- Build the reference use cases shaping UK enterprise AI
- Collaborate with experts in infrastructure, carbon, and enterprise AI
- Competitive comp, equity, and deep customer impact
AI Solutions Consultant employer: asobbi
Contact Detail:
asobbi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI space and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI/ML. Be ready to discuss how you've tackled real-world problems with AI solutions — this is your chance to shine!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you note to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply through our website for the best chance at landing that Principal AI Solutions Consultant role. We love seeing candidates who are proactive and engaged with our platform — it shows you're serious about joining us!
We think you need these skills to ace AI Solutions Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal AI Solutions Consultant. Highlight your experience in AI/ML consulting and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how you can bridge customer strategy with technical execution. Let us know what excites you about working with our platform.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Mention your experience with Python, ML frameworks, and orchestration tools. We’re looking for someone who can hit the ground running, so make sure we see your hands-on knowledge.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at asobbi
✨Know Your AI Inside Out
Make sure you brush up on your AI/ML knowledge, especially around the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss how you've applied these in real-world projects, as this will show your depth of understanding and experience.
✨Master the Art of Communication
Since this role involves a lot of customer interaction, practice explaining complex AI concepts in simple terms. Think about how you can convey technical details to non-technical stakeholders, as this will be crucial in demonstrating your ability to bridge the gap between strategy and execution.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design solutions on the spot. Prepare by thinking through past projects where you had to lead engagements from discovery to delivery, and be ready to outline your thought process clearly.
✨Showcase Your Collaborative Spirit
This role requires working closely with various teams, so be prepared to discuss how you've collaborated with product, engineering, and customer success teams in the past. Highlight specific examples where your teamwork led to successful outcomes, as this will demonstrate your fit for the collaborative culture.