Hybrid AI Solution Architect

Posted 2 hours ago

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About the role

  • Visionary technologist in hybrid role designing AI-powered infrastructure for Salesforce's IT transformation. Collaborate and innovate to build intelligent, agentic IT ecosystems across multiple platforms.

Responsibilities

  • Lead the design and implementation of large-scale, multi-system infrastructure that unifies disparate IT systems into a cohesive, intelligent platform.
  • Architect and build a unified Data360 environment by integrating device management tooling, system logs, large datasets, and enterprise applications.
  • Design and deploy proactive Agentic workflows and automations using Agentforce, enabling IT to shift from reactive to predictive operations.
  • Develop robust automations and backend services in Python, Swift, and Go, deployed across platforms including MuleSoft and AWS.
  • Integrate with enterprise IT systems via REST/SOAP APIs (e.g., Jamf, FleetDM, Intune, Zscaler) to create seamless, end-to-end data flows.
  • Architect and implement serverless infrastructure on AWS (Lambda, API Gateway, Fargate) in collaboration with IT and Endpoint Engineering teams.
  • Build Slack-native AI experiences — including intelligent Slack agents, automated workflow surfaces, and AI-powered integrations using the Slack Platform.

Requirements

  • Bachelor's degree in Software Engineering, Computer Science, or a related field, or equivalent work experience.
  • 8+ years of experience in software engineering, systems architecture, or a related technical discipline.
  • Demonstrated expertise in AI/ML technologies and their practical application in enterprise automation and agentic systems.
  • Proven track record designing and implementing enterprise-scale API Gateways, event-driven architectures, and serverless infrastructure.
  • 5+ years of hands-on experience with Salesforce products including Data Cloud, the Agentforce product family, and the Salesforce Platform.
  • Expert-level proficiency with REST and SOAP APIs and their integration into complex, large-scale enterprise environments.
  • Deep experience in cloud-native development on AWS, including strong familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation).
  • Hands-on experience with Salesforce products including Data Cloud, the Agentforce product family, and the Salesforce Platform.
  • Demonstrated ability to design, build, and maintain CI/CD pipelines using GitHub Actions to enable rapid, high-quality software delivery.

Benefits

  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

Job title

AI Solution Architect

Job type

Experience level

SeniorLead

Salary

$172,500 - $260,100 per year

Degree requirement

Bachelor's Degree

Location requirements

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