Applied AI Architect: Enterprise AI Platform Lead

Salesforce, Inc.; New Hampshire; On-site; USD 148,000 - 198,000; Full time

Job summary

Salesforce, Inc. is seeking an experienced Enterprise Solutions Architect to lead architecture across Platform Advantage, Emerging Tech, Data & AI Excellence, and Governance & Trust domains. You’ll translate complex business problems into capabilities and guide delivery across pre- and post-sale teams.

Ideal candidates have 5+ years in enterprise architecture, strong AI tooling experience, and deep Salesforce knowledge, with a track record of keeping projects on track.

Qualifications

• 5+ years in enterprise or solutions architecture, with direct experience influencing senior technical and business stakeholders.
• Experience with AI tooling to build solutions, learn new skills, and be more efficient with your job.
• Fluency across the Salesforce platform or at least one major alternative / adjacent technology relevant to your focus area.
• A track record of staying engaged through delivery, including recovering stalled or politically stuck work.
• B.S., M.S. or PhD in Computer Science, Software Engineering or MIS

Responsibilities

• Lead architecture domains with customer-first problem solving and domain depth.
• Work across platform advantages, governance and trust, and data & AI to deliver capabilities.
• Ensure delivery continuity by engaging across pre/post sales teams and aligning stakeholders.
• Resolve platform-fit ambiguity for customers facing conflicting recommendations.

Skills

Enterprise architecture

Stakeholder influence

AI tooling experience

Salesforce familiarity

Education

B.S./M.S./PhD in Computer Science or MIS

Tools

Salesforce Platform

Job description

Salesforce, Inc. is seeking an experienced Enterprise Solutions Architect to lead architecture across Platform Advantage, Emerging Tech, Data & AI Excellence, and Governance & Trust domains. You’ll translate complex business problems into capabilities and guide delivery across pre- and post-sale teams.

Ideal candidates have 5+ years in enterprise architecture, strong AI tooling experience, and deep Salesforce knowledge, with a track record of keeping projects on track.