Salesforce
Sr. Enterprise Architect - Agentforce for Operations
$148K–$286K
Illinois - Chicago +5 · Remote Home-Based · Senior · Full-time · Posted Oct 22, 2026
- Location
- Illinois - Chicago
New York - New York
Georgia - Atlanta
Washington - Seattle
Texas - Austin
California - San Francisco - Experience
- Preferred: 4-8 years in Enterprise architecture or solution engineering, including 2+ years in customer-facing enterprise architecture.
- Education
- Strong engineering background; preferred fields include Computer Science, Software Engineering, MIS, Electrical Engineering, Data Science, or equivalent experience.
About the job
Leads customer-facing integration strategy and delivery for complex supply chain and manufacturing transformations, connecting Agentforce with enterprise systems and deploying production solutions.
What you'll do
- Design, build, and ship enterprise integration solutions, including API-led connectivity and agentic data pipelines.
- Set AI integration roadmaps with customer executives and collaborate with technical and non-technical stakeholders.
- Bring customer and field learnings back to improve Agentforce platform and methodology.
What they ask for
- Hands-on experience integrating enterprise systems such as ERP, PLM, and CRM, plus a strong understanding of Generative AI.
- Strong integration architecture foundation, including API-led connectivity, process orchestration, application lifecycle management, and security.
- Proficiency in at least one coding language (Python, Java, JavaScript, Node, Go, or similar).
- Ability and interest to travel domestically as needed for client engagements.
Nice to have
- Hands-on prompt engineering, LLM, and Generative AI architecture experience in enterprise settings.
- Understanding of risk mitigation, compliance, and security in enterprise software contexts.
Pay
$148,500 - $260,100 annually (base salary); $178,900 - $285,800 annually (base salary)
Tools
Agentforce, ERP, PLM, CRM, Python, Java, JavaScript, Node
AI focus
Integrates Agentforce and Generative AI into enterprise systems and workflows, including agentic data pipelines and customer AI integration roadmaps.
Model-written summary · the original posting is authoritative