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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture on the Salesforce platform, with a strong focus on deploying Agentforce and Data Cloud implementations. Capable of leading technical discussions with executive stakeholders and implementing complex multi-cloud AI-driven solutions.
Highest-signal resume keywords
Salesforce Solution ArchitectureAgentforce ImplementationApex ProgrammingData Cloud ExpertiseClient-Facing Technical Consulting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ApexFlowLWCREST APIsSOAP APIsData CloudZero-Copy ArchitectureVector DatabasesGenerative AI ConceptsEnterprise Data Ingestion
Soft Skills
Exceptional CommunicationClient EngagementProblem SolvingLeadership
Tools & Technologies
Einstein 1 PlatformMuleSoftSnowflakeDatabricksBigQuery
Certifications & Qualifications
Salesforce Certified AI SpecialistSalesforce Certified Data Cloud ConsultantApplication ArchitectSystem ArchitectSnowflake Certified Core/AdvancedDatabricks Certified Data EngineerMuleSoft Integration ArchitectAWS Certified Solutions Architect (Professional)Azure Solutions Architect ExpertGoogle Cloud Professional Cloud Architect
Industry Keywords
AI-Driven ImplementationsAgent WorkflowsDeployment BottlenecksObservability FrameworksAudit LoggingEnterprise Compliance
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudSOAP
About the role
Key responsibilities & impact- Embed with client engineering and business leadership to prototype, architect, and deploy custom Agentforce autonomous agents, topics, actions, and guardrails
- Design and implement agent workflows using Einstein 1 Platform, Data Cloud, Apex, Flow, MuleSoft, and external REST endpoints
- Establish evaluation, testing, and observability frameworks to monitor agent accuracy, hallucination rates, latency, and business performance
- Resolve critical deployment bottlenecks in real time on strategic engagements
- Own end-to-end technical architecture for multi-cloud, AI-driven implementations
- Architect real-time Salesforce Data 360 pipelines that unify Snowflake, Databricks, BigQuery, and CRM data
- Produce system sequence diagrams, agent action flows, data schemas, and security/governance frameworks
- Evaluate AI/LLM models, prompt engineering patterns, and Agentforce features
- Build reusable assets, agent templates, and internal accelerators
- Advise C-suite, VP, and Enterprise Architecture stakeholders
- Lead discovery sessions, live agent demonstrations, and architectural design reviews
- Partner with Delivery Leadership and Account Executives to scope, estimate, and validate Agentforce proposals
- Share deployment insights and patterns with internal teams to mature the Agentforce Center of Excellence
Requirements
What you’ll need- 6+ years of solution architecture experience on the Salesforce platform
- Hands-on experience building and deploying Salesforce Agentforce, Einstein Copilot, or advanced Data Cloud implementations
- 5+ years in client-facing technical consulting or FDE roles
- Proven track record of shipping production code and systems under tight timelines on $2M+ accounts
- Strong proficiency in Apex, Flow, LWC, REST/SOAP APIs, and modern programmatic integration patterns
- Deep understanding of Data Cloud, zero-copy architecture, vector databases, RAG, and enterprise data ingestion strategies
- Experience implementing agent guardrails, prompt defense, audit logging, and enterprise compliance frameworks
- Exceptional ability to explain generative AI concepts, LLM mechanics, and agentic workflows to executive audiences
- Full-time permanent US work authorization
- Willing and able to travel 50%+ to client sites
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
- Preferred: Salesforce Certified AI Specialist, Salesforce Certified Data Cloud Consultant, Application Architect, or System Architect
- Preferred: Snowflake Certified Core/Advanced, Databricks Certified Data Engineer, or MuleSoft Integration Architect
- Preferred: AWS Certified Solutions Architect (Professional), Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or TOGAF
Benefits
Comp & perks- Flexible working hours with an emphasis on a life-work balance
- Remote friendly
- Unlimited Paid Time Off (RTO)
- 401K with Company Match
- Medical, Vision, & Dental coverage
- Competitive quarterly bonus opportunities
- Continuing education and certification reimbursements within the Salesforce and Snowflake ecosystems
- Occasional in-house competitions with spot bonuses
- Flexible and fun team culture
- Frequent team and culture activities, virtual and in-person, including Lunch and Learns, Happy Hours, and team-building events
- Monthly All-Hands calls
- Open-door leadership policy with access to mentorship and guidance
- Opportunities for accelerated growth, networking, and career guidance and support
- Trust, transparency and respect across all levels of the company