At a Glance
- Tasks: Lead AI strategy and implementation, turning innovative ideas into trusted business solutions.
- Company: Join a leading tech firm shaping the future of AI in EMEA.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and trust.
- Why this job: Be at the forefront of AI technology, making a real impact on businesses.
- Qualifications: 10-15 years in AI/ML with proven experience in production AI.
The predicted salary is between 81000 - 99000 £ per year.
Our most senior technical voice on AI and agentic strategy in EMEA — someone who's actually shipped an AI product into production, not just prototyped one, and knows how to turn LLM/agentic capability into measurable business value customers can trust. Solid on at least one Salesforce cloud, but the real bar is production trust, transparency, and business-process ROI — not Salesforce platform depth or fine-tuning mechanics.
The Field CAIO needs to be credible enough to help a CDAIO shape their AI strategy and vision for enterprise AI at scale — and then translate that vision into the role Salesforce plays within it, connecting enterprise-wide AI ambition to what's actually buildable and trustworthy on our platform.
Your Impact
- AI & Agentic Thought Leadership: The field's go-to authority on LLMs and agentic implementations — not the hyperparameters or fine-tuning mechanics, but how to put the technology to real, measurable work based on the Salesforce Platform. Sales-driven, C-level presence: CAIOs, CTOs, and business leaders treat you as the peer who can turn "we should use AI" into a funded, working plan. Present at events, analyst briefings, and customer boards; publish points of view on what actually works in production AI versus what's hype.
- From Idea to Production — Business Value & Trust: Own the hardest part of the AI story: getting tools out of the demo and into production, with the trust and transparency for a business to depend on them. Translate AI capability into concrete business process improvement — help customers frame the problem, size the value, and pick the right first use case. Bring hands-on architectural credibility on agentic patterns (orchestration, tool use, guardrails, observability) so customers trust what an agent will and won't do. Long-term trusted advisor to strategic accounts on their AI roadmap, beyond any single deal.
- Reference Architecture & Technical GTM for AI: Build reference architectures and GTM narratives for new AI/agentic offerings ahead of launch. Package proof points and playbooks — ideally drawn from your own track record of shipping AI products — that the wider architect community can reuse. Co-own architecture patterns with AI ecosystem partners (hyperscalers, model providers, agent-framework vendors) to accelerate joint solutioning.
Qualifications
- 10-15+ years in AI/ML, applied data science, or technical consulting, with recent deep focus on LLMs and agentic systems.
- Demonstrated track record of taking AI tools into production — ideally: built an AI product or company, and can show references for the business impact delivered to customers.
- Good tech depth on at least one Salesforce cloud and core/platform, and a good understanding of major features and capabilities of Salesforce offering.
- Strong grasp of what makes production AI trustworthy: transparency, observability, guardrails, evaluation — able to speak to this with engineering and business audiences alike.
- Demonstrated C-level advisory experience, translating AI potential into business-process outcomes.
- Fluent English required; additional EMEA languages a plus.
- Degree or equivalent experience.
Technical Skill Set
- AI & Agentic: LLMs, RAG, vector stores, agent orchestration, MCP/A2A interoperability, evaluation/observability frameworks.
- Applied AI-to-Value: Use-case framing, business process redesign, ROI measurement for AI initiatives.
- Salesforce Platform: Solid working knowledge of Agentforce and at least one cloud (Data 360, Sales, Service, or Industry Clouds).
- Data Foundations: Enough data-platform fluency (cloud DWH/DL) to know when data quality is the real blocker to AI value.
- Production & Trust: Guardrails, governance, monitoring, and transparency patterns for deployed AI systems.
Key Qualities
- Builder — has shipped an AI product, not just prototyped one.
- Pragmatist — cares about measurable business value over technical novelty.
- Trust Broker — makes customers comfortable putting AI into production.
- Storyteller — moves a room from "interesting demo" to "let's fund this".
- Sales Instinct — genuinely enthusiastic, commercially driven.
Field CAIO, AI & Agentic Ecosystem in London employer: Momentum
Momentum Worldwide is an exceptional employer that fosters a vibrant and collaborative work culture, where creativity thrives and innovation is celebrated. Located in London, this hybrid role offers the unique opportunity to work with some of the world's biggest brands while being part of a talented team dedicated to pushing design boundaries. With a strong commitment to employee growth and inclusivity, Momentum provides a platform for designers to expand their skills and make a meaningful impact in the world of commerce and experiential design.
StudySmarter Expert Advice🤫
We think this is how you could land Field CAIO, AI & Agentic Ecosystem in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Momentum or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Momentum.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Momentum.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Momentum that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Field CAIO, AI & Agentic Ecosystem in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Momentum.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Momentum and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Momentum
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Momentum uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
