Senior Level Cloud AI Architect Jobs
Senior level cloud ai architect jobs put experienced professionals in charge of cloud AI strategy, end-to-end solution ownership, and the cross-functional teams that bring complex systems to production. Roles are spread across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with employers like Gartner, Northwest Bank, and EXL hiring at this level now.
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Job Title: Senior Salesforce AI Data Cloud Analytics Architect
Location: Milwaukee, WI / Alpharetta, GA / Berkeley Heights, NJ / Frisco TX. (5 days onsite)
Duration: 6+ Months Contract or FTE
Job Description:
Senior Salesforce AI Data Cloud Analytics Architect to serve as a hands-on enterprise Subject Matter Expert (SME) for Salesforce Agentforce Data Cloud Data 360 and Tableau Next. This role partners closely with Solution Architects, Sales, Service, Marketing, Data Platform, Security, and Business teams to design and deliver AI-powered data-driven capabilities across the Salesforce ecosystem. This individual is a hands-on technical and strategic contributor responsible for defining platform architecture, agent design patterns, data model strategy, semantic layer standards, integration approaches, governance practices, and analytics enablement for enterprise customer intelligence and AI-driven business processes.
BASIC QUALIFICATIONS
- 10 years of experience in enterprise application architecture, CRM platforms, data platforms, analytics, AI-enabled solutions, or related technology domains.
- 5 years of Salesforce architecture experience supporting enterprise scale Sales, Service, Marketing, Data Cloud analytics, or platform implementation initiatives.
- Serves as the primary SME for Agentforce Data Cloud Data 360 and Tableau Next architecture implementation patterns, governance, and adoption strategy.
- Defines reusable architecture standards, reference designs, platform guardrails, and technical roadmaps for Salesforce AI data and analytics capabilities.
- Identifies and escalates platform security, data quality, compliance, integration, scalability, and operational risks to Solution Architects, platform leadership, and enterprise architecture teams.
- Influences enterprise strategy related to AI adoption, customer intelligence, data activation, analytics modernization, and Salesforce platform consolidation.
Key Responsibilities
- Agentforce Strategy
- AI Solution Architecture
- Data Cloud Data 360 Architecture
- Customer Data Strategy
- Tableau Next Analytics Enablement
- Enterprise Integration Platform Architecture
- Technical Leadership
- Platform Governance
Required Skills
- Direct hands-on experience with Salesforce Agentforce, Eins4AI, Salesforce AI capabilities, or enterprise AI-enabled platform solutions.
- Direct hands-on experience with Salesforce Data Cloud Data 360 including data modeling, ingestion, identity resolution, segmentation, activation, or governance.
- Experience with Tableau Next, Tableau, or equivalent enterprise analytics and semantic modeling platforms.
- Strong Salesforce platform architecture experience across Sales Cloud, Service Cloud, platform integrations, security model, metadata automation, and data architecture.
- Experience designing customer 360 solutions, semantic data models, governed data products, and enterprise reporting or analytics frameworks.
- Strong understanding of APIs, event-driven architecture, data integration patterns, middleware, cloud platforms, and enterprise data platforms such as Snowflake.
- Experience defining architecture standards, solution designs, technical roadmaps, governance models, and implementation patterns for enterprise platforms.
- Strong knowledge of data governance, privacy compliance, access controls, auditability, and security expectations in regulated enterprise environments.
- Excellent executive communication, stakeholder management, technical translation, documentation, and cross-functional leadership skills.
PREFERRED STRONG PLUS SKILLS
- Salesforce Certified Technical Architect (CTA) or Salesforce Architect level certifications
- Salesforce Data Cloud Consultant Certification
- Salesforce AI Specialist, AI Associate, or related Salesforce AI certifications
- Tableau certifications or hands-on experience delivering enterprise Tableau analytics solutions
- Experience with Snowflake, Snowflake Cortex, semantic layers, AIML platforms, or enterprise data Lakehouse medallion architecture patterns.
- Experience integrating Salesforce with Snowflake, AWS, Azure, Google Cloud, middleware, API gateways, or enterprise data platforms.
- Experience leading enterprise AI governance, Responsible AI adoption, platform modernization, or customer intelligence initiatives.
- Experience within financial services, payments, fintech, or other highly regulated industries.
- Experience working in Agile delivery models with product owners, architects, engineering teams, QA, security, and operations teams.
Job Title: Senior Salesforce AI Data Cloud Analytics Architect
Location: Milwaukee, WI / Alpharetta, GA / Berkeley Heights, NJ / Frisco TX. (5 days onsite)
Duration: 6+ Months Contract or FTE
Job Description:
Senior Salesforce AI Data Cloud Analytics Architect to serve as a hands-on enterprise Subject Matter Expert (SME) for Salesforce Agentforce Data Cloud Data 360 and Tableau Next. This role partners closely with Solution Architects, Sales, Service, Marketing, Data Platform, Security, and Business teams to design and deliver AI-powered data-driven capabilities across the Salesforce ecosystem. This individual is a hands-on technical and strategic contributor responsible for defining platform architecture, agent design patterns, data model strategy, semantic layer standards, integration approaches, governance practices, and analytics enablement for enterprise customer intelligence and AI-driven business processes.
BASIC QUALIFICATIONS
- 10 years of experience in enterprise application architecture, CRM platforms, data platforms, analytics, AI-enabled solutions, or related technology domains.
- 5 years of Salesforce architecture experience supporting enterprise scale Sales, Service, Marketing, Data Cloud analytics, or platform implementation initiatives.
- Serves as the primary SME for Agentforce Data Cloud Data 360 and Tableau Next architecture implementation patterns, governance, and adoption strategy.
- Defines reusable architecture standards, reference designs, platform guardrails, and technical roadmaps for Salesforce AI data and analytics capabilities.
- Identifies and escalates platform security, data quality, compliance, integration, scalability, and operational risks to Solution Architects, platform leadership, and enterprise architecture teams.
- Influences enterprise strategy related to AI adoption, customer intelligence, data activation, analytics modernization, and Salesforce platform consolidation.
Key Responsibilities
- Agentforce Strategy
- AI Solution Architecture
- Data Cloud Data 360 Architecture
- Customer Data Strategy
- Tableau Next Analytics Enablement
- Enterprise Integration Platform Architecture
- Technical Leadership
- Platform Governance
Required Skills
- Direct hands-on experience with Salesforce Agentforce, Eins4AI, Salesforce AI capabilities, or enterprise AI-enabled platform solutions.
- Direct hands-on experience with Salesforce Data Cloud Data 360 including data modeling, ingestion, identity resolution, segmentation, activation, or governance.
- Experience with Tableau Next, Tableau, or equivalent enterprise analytics and semantic modeling platforms.
- Strong Salesforce platform architecture experience across Sales Cloud, Service Cloud, platform integrations, security model, metadata automation, and data architecture.
- Experience designing customer 360 solutions, semantic data models, governed data products, and enterprise reporting or analytics frameworks.
- Strong understanding of APIs, event-driven architecture, data integration patterns, middleware, cloud platforms, and enterprise data platforms such as Snowflake.
- Experience defining architecture standards, solution designs, technical roadmaps, governance models, and implementation patterns for enterprise platforms.
- Strong knowledge of data governance, privacy compliance, access controls, auditability, and security expectations in regulated enterprise environments.
- Excellent executive communication, stakeholder management, technical translation, documentation, and cross-functional leadership skills.
PREFERRED STRONG PLUS SKILLS
- Salesforce Certified Technical Architect (CTA) or Salesforce Architect level certifications
- Salesforce Data Cloud Consultant Certification
- Salesforce AI Specialist, AI Associate, or related Salesforce AI certifications
- Tableau certifications or hands-on experience delivering enterprise Tableau analytics solutions
- Experience with Snowflake, Snowflake Cortex, semantic layers, AIML platforms, or enterprise data Lakehouse medallion architecture patterns.
- Experience integrating Salesforce with Snowflake, AWS, Azure, Google Cloud, middleware, API gateways, or enterprise data platforms.
- Experience leading enterprise AI governance, Responsible AI adoption, platform modernization, or customer intelligence initiatives.
- Experience within financial services, payments, fintech, or other highly regulated industries.
- Experience working in Agile delivery models with product owners, architects, engineering teams, QA, security, and operations teams.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Investment & Asset Management
- Fintech
Senior Level Cloud AI Architect Jobs: Frequently Asked Questions
How do I get a senior level cloud ai architect job?
Employers at this level expect candidates who have led cloud AI initiatives from design through deployment, not just contributed to them. Demonstrating ownership of architecture decisions, experience guiding engineering teams, and a portfolio of production-grade AI systems on major cloud platforms gives candidates a clear edge. Relevant certifications and a history of influencing technical direction across an organization strengthen an application further.
Which companies hire senior level cloud ai architects?
Companies hiring senior level cloud ai architects right now include Gartner, Northwest Bank, and EXL, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises building internal AI platforms, cloud-native consultancies, and technology companies scaling production AI infrastructure.
Are there remote senior level cloud ai architect jobs?
Yes, remote and hybrid options are well established at this level. About 36% of senior level cloud ai architect openings are remote or hybrid as of September 2026, reflecting how broadly distributed cloud work has become for senior technical roles. Fully on-site positions do still exist, typically at organizations with strict data governance or security requirements.
What makes a cloud ai architect role senior level?
Senior level cloud ai architect roles are defined by scope and accountability rather than task execution. These professionals set the architectural vision for cloud AI systems, own technology decisions that affect the entire organization, and are expected to mentor engineers and principal contributors. They lead complex, multi-stakeholder projects and are responsible for outcomes, not just deliverables.
Which industries hire the most senior level cloud ai architects?
Senior Level cloud ai architect roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are investing heavily in scalable, production AI systems that require experienced architects to design, govern, and evolve the underlying cloud infrastructure.