Salesforce · Posted 3w ago
Data & AI Architect
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- Snowflake
- BigQuery
- Databricks
- Redshift
- Pandas
- PyTorch
- TensorFlow
- SageMaker
- Vertex AI
- LLM
- SQL
- Python
- JavaScript
- R
- AWS
The posting
Join our team as a Data & AI Architect, where you will be a senior 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 requires expertise in data engineering, platform architecture, and applied AI. You will work closely with Account Executives and Product teams to ensure customers realize the full value of the platform. Additionally, you will shape best practices around generative AI, agent interoperability, and cross-platform integrations.
- Act as a senior, hands-on technical leader and trusted advisor to customers, responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures. - Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. - Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.
- Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC) - Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies - Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands-on prototype development - External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability - Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter - AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences - Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions - Technical Pre-Sales/Consulting - 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments - Salesforce Expertise - Hands-on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services - Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A) - Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks - Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows) - Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services - Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker