Senior Enterprise AI Integration Architect

salesforce.com, inc.; New York (NY); On-site; USD 150,000 - 248,000; Full time

Job summary

Salesforce is seeking a Senior Enterprise Architect to own end-to-end integration strategy for complex Supply Chain and Manufacturing transformations. You will design API-led connectivity, data pipelines, and bring solutions to production at scale, working with customers to shape their AI integration roadmap.

You will collaborate with executive teams to align technical delivery with strategic goals, bringing field learnings back to Agentforce and related enterprise systems.

Qualifications

• Deep hands-on experience integrating ERP/PLM/CRM and a strong understanding of Generative AI in enterprise settings.
• Strong foundation in integration architecture principles: API-led connectivity, process orchestration, lifecycle management, and security.
• Engineering background with preferred fields (CS, SE, MIS, EE, Data Science) or equivalent experience.
• Proficiency in at least one programming language (Python, Java, JavaScript, Node, Go, or similar).
• Willingness to travel domestically for client engagements.

Responsibilities

• Own end-to-end integration strategy and delivery for complex Supply Chain and Manufacturing transformations.
• Architect API-led connectivity strategies, data pipelines, and drive production deployments.
• Set AI integration roadmap in collaboration with the customer's executive team and deliver real solutions.

Skills

ERP/PLM/CRM integration

Integration architecture principles

Engineering background

Programming languages

Travel willingness

Experience in EA

Generative AI

Security/compliance

Job description

Salesforce is seeking a Senior Enterprise Architect to own end-to-end integration strategy for complex Supply Chain and Manufacturing transformations. You will design API-led connectivity, data pipelines, and bring solutions to production at scale, working with customers to shape their AI integration roadmap.

You will collaborate with executive teams to align technical delivery with strategic goals, bringing field learnings back to Agentforce and related enterprise systems.