AI Solution Architect

Salesforce • San Francisco, CA

1d

About The Position

We are looking for a visionary technologist to join our newly formed IT Agentic Engineering team in a unique hybrid Engineer/Architect role. You will be at the forefront of transforming how Salesforce's IT organization operates — designing and building the enterprise-scale, AI-powered infrastructure that connects our systems, tools, and data into a unified, intelligent Data360 environment. If you thrive at the intersection of cloud architecture, AI automation, and developer tooling, and want to shape the future of a proactive, agentic IT organization, this role is for you.

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.

Nice To Haves

• Advanced proficiency in scripting languages including BASH, ZSH, PowerShell, and Python for automation and system administration.
• Experience with integration platforms such as MuleSoft for enterprise system connectivity.
• Demonstrated experience building Slack applications, bots, or workflow automations on the Slack Platform.
• Familiarity with endpoint management tools such as Jamf, Intune, or FleetDM.
• Experience working in a large enterprise IT environment with a strong security and compliance mindset.

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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees