Salesforce

Principal Data and AI Architect

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • India

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Job Level

Lead

Tech Stack

Amazon RedshiftBigQueryCloudJavaScriptPandasPythonSQL

About the role

  • 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.
  • Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.
  • Collaborate with Account Executives and Product teams to ensure customers realize the full value of the platform.
  • Develop thought leadership content—demo templates, whitepapers, enablement sessions.

Requirements

  • 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
  • Hands-on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
  • Strong understanding of external agent ecosystems and interoperability.
  • Experience in prompt engineering, agent lifecycle management, and hands-on prototype development.
  • Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
  • Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
  • Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.
  • Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.
  • Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies.
Benefits
  • Flexible work arrangements
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architectureAI architectureprompt engineeringmachine learningdata ingestion patternsprogrammingdata frameworksprototype developmentanalyticsgenerative AI
Soft Skills
technical leadershipcommunicationpresentation skillscollaborationthought leadershipcustomer advisoryproblem-solvingguiding stakeholdersanalytical thinkingcreativity