Technical Architect 8
Salesforce1 day ago
London, United KingdomSenior
Responsibilities
- Lead pre-sales technical design and recommend Agentforce solutions integrated with external agent frameworks.
- Design agent interoperability using open standards such as MCP and A2A, including integrations with Copilot, Gemini, and hyperscaler services.
- Configure conversational and background agents with Agentforce Studio and Agent Builder, including integrations with voice and other external channels.
- Lead prompt engineering, testing, monitoring, iteration, and agent lifecycle strategy.
- Build rapid hands-on prototypes and demos with Account Executives and Sales Engineers.
- Facilitate customer and internal workshops, whiteboarding sessions, technical enablement, and proof-of-value engagements.
- Integrate Data Cloud/Data 360, CRM, MuleSoft APIs, and external agent endpoints within compliant and governed architectures.
- Own architecture decisions covering data modeling, identity resolution, data graphs, activation strategies, and real-time versus batch patterns.
- Create thought leadership materials, technical documentation, knowledge bases, FAQs, demo templates, whitepapers, and enablement content.
- Serve as a central technical resource for internal inquiries and help specialist teams conduct technical discussions effectively.
Requirements
- 7+ years of hands-on experience designing and delivering enterprise data, analytics, and AI architectures in technical pre-sales, consulting, or related environments.
- Strong understanding of external agent ecosystems, interoperability, prompt engineering, agent lifecycle management, and hands-on prototype development.
- Experience with machine learning concepts, including predictive and generative AI, and the ability to communicate technical value to diverse audiences.
- Deep expertise with modern cloud data platforms such as Snowflake, Databricks, BigQuery, and Redshift, including batch, streaming, and CDC ingestion patterns.
- Proficiency in programming languages such as JavaScript, Python, SQL, or R, and data frameworks such as pandas or Jupyter.
- Strong presentation, communication, workshop facilitation, and stakeholder guidance skills.
- Preferred: hands-on Salesforce Agentforce experience and deep fluency with Data 360 and Salesforce platform services.
- Preferred: experience integrating Salesforce with external agents through APIs and open standards such as MCP and A2A.
- Preferred: familiarity with prompt governance, observability, monitoring frameworks, cross-platform integrations, conversational voice pipelines, and multimodal integrations.
- Preferred: exposure to TensorFlow, PyTorch, MLOps practices, Google Vertex AI, or AWS SageMaker.
Benefits
- Salesforce states that its benefits and resources support balance and employee well-being.
- The employer provides reasonable accommodations during the application and recruiting process.
- Salesforce is a Disability Confident employer and offers an interview scheme for eligible disabled applicants in the UK.
Tech Stack
Categories
Solutions Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.