Field CAIO, AI & Agentic Ecosystem
Salesforce is hiring a Field CAIO, AI & Agentic Ecosystem in London, United Kingdom. Level rates it ; you can apply on Salesforce.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include RAG, AI agents and fine tuning.
- Level lists 1,500+ other open roles at Salesforce.
AI in this role
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Job Category
SalesJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
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 need 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
1. 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
2. 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
3. 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
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
How we rate this
Field CAIO, AI & Agentic Ecosystem at Salesforce rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, and Fine-tuning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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