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Salesforce

Builds cloud software for customer relationships

Field Chief AI Officer - AI & Agentic Ecosystem

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • 10–15+ years of experience in AI/ML, applied data science, or technical consulting, with recent deep focus on large language models and agentic systems.
  • Demonstrated experience taking AI tools into production; ideally, experience building an AI product or company and references for the business impact delivered to customers.
  • Good technical depth in at least one Salesforce cloud and core/platform, and a good understanding of major features and capabilities of Salesforce offerings.
  • Strong grasp of production AI trust practices, including transparency, observability, guardrails, and evaluation, and the ability to discuss these with engineering and business audiences.
  • Demonstrated C-level advisory experience translating AI potential into business-process outcomes.
  • Fluent English.
  • A degree or equivalent experience.
  • Knowledge of large language models, retrieval-augmented generation, vector stores, agent orchestration, Model Context Protocol/Agent-to-Agent interoperability, and evaluation/observability frameworks.
  • Ability to frame use cases, redesign business processes, and measure return on investment for AI initiatives.
  • Working knowledge of Agentforce and at least one Salesforce cloud: Data 360, Sales, Service, or Industry Clouds.
  • Data-platform fluency, including cloud data warehouses or data lakes, sufficient to identify when data quality is blocking AI value.
  • Knowledge of guardrails, governance, monitoring, and transparency patterns for deployed AI systems.
  • Demonstrated ability to build and ship AI products rather than only prototypes.
  • A pragmatic focus on measurable business value over technical novelty.
  • Ability to build customer trust in putting AI into production.
  • Ability to explain AI so audiences move from considering a demonstration to funding a solution.
  • Commercial enthusiasm and sales orientation.

Responsibilities

  • Serve as the field's go-to authority on large language models and agentic implementations, putting the technology to measurable work based on the Salesforce Platform.
  • Act as a sales-driven C-level presence, helping CAIOs, CTOs, and business leaders turn AI ambitions into funded, working plans.
  • Present at events, analyst briefings, and customer boards, and publish points of view on production AI.
  • Help customers move AI tools from demonstrations into production with the trust and transparency needed for business reliance.
  • Translate AI capabilities into concrete business-process improvements by helping customers frame problems, size value, and select an initial use case.
  • Provide hands-on architectural credibility on agentic patterns, including orchestration, tool use, guardrails, and observability.
  • Advise strategic accounts over the long term on their AI roadmaps beyond individual deals.
  • Build reference architectures and go-to-market narratives for new AI and agentic offerings ahead of launch.
  • Package proof points and reusable playbooks, ideally based on a track record of shipping AI products, for the wider architect community.
  • Co-own architecture patterns with AI ecosystem partners, including hyperscalers, model providers, and agent-framework vendors, to accelerate joint solutioning.

Desired Qualifications

  • Additional EMEA languages are a plus.
  • Experience building an AI product or company and references demonstrating business impact delivered to customers.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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