Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. Innovation isn’t a buzzword — it’s a way of life. The world of work is changing and we are looking for Trailblazers passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. As a Data & AI Architect, you will act as a senior, hands-on technical leader and trusted advisor to our customers. You will design, validate, and operationalize enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, guiding customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will collaborate closely with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions integrating D360 into complex enterprise ecosystems—including hyperscalers, data lakes, and governance frameworks.

Responsibilities include leading pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and external agent frameworks integration. You will shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations. Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content such as demo templates, whitepapers, and enablement sessions focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource by addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization.

If you are naturally curious about AI and Data, love exploring new technologies, and enjoy educating others while crafting solutions that deliver real business impact, this role is for you.

Experience
7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Strong understanding of external agent ecosystems and interoperability. Proven track record in prompt engineering, agent lifecycle management, and hands-on prototype development. Expertise in machine learning concepts including predictive and generative AI. Deep knowledge of modern cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift, and data ingestion patterns including batch, streaming, and CDC. Proficiency in programming languages such as JavaScript, Python, SQL, and R, and data frameworks like pandas or Jupyter. Excellent communication and presentation skills, capable of explaining complex ideas and guiding stakeholders toward impactful solutions.

About you
Curious and passionate about exploring new AI frameworks and technologies. Enjoys sharing insights and educating others. Motivated to create scalable, secure, and innovative AI and data solutions. Collaborative team player who thrives in dynamic environments and values continuous learning.

Qualifications
Preferred experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Familiarity with prompt governance, observability, and monitoring frameworks. Background in cross-platform integrations including hyperscaler SDKs to Salesforce Flows. Exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Knowledge of advanced AI/ML frameworks such as TensorFlow and PyTorch, MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker is advantageous.