Salesforce

4 months ago

AFD360 Solution Engineer - Regulated Industries

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

A customer-facing technical trusted advisor and hands-on builder focused on Agentforce and Data Cloud in regulated industries. You’ll lead technical discovery, shape proof points, drive production readiness, and guide activation and scaling—from evaluation to adoption—combining Salesforce expertise with full-stack data/AI capabilities.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Healthcare (Clinical, Medical, Wellness)

Seniority: Sr. Manager level

Key Responsibilities

•Design and run workshops, demos, and time-boxed POCs/pilots—scope the work, define success metrics, execute, and deliver a clean handoff to production lanes
•Lead deep technical + business discovery to scope MVP agentic use cases—translate outcomes/ROI into an executable architecture and activation plan
•Build secure, scalable Agentforce + Data Cloud solutions to validate technical feasibility and production readiness
•Drive activation—partner with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
•De-risk the path to value—assess feasibility across data, security/compliance, orchestration, and operational readiness to ensure the selected use case can scale and be adopted by real users

Pay and Benefits

Salary: USD 148,190 - 269,080 annually

Perks:Health Insurance401kVisionEquityRetirement

Key Requirements

•7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence
•Hands-on Agentforce (AI) and Data Cloud builder who can prototype and unblock (deep expertise with platform patterns; building workflows/automation and guiding agent build and data 360 best practices)
•Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, and how agentic systems behave in production (safety, reliability, governance)
•Deep discovery + MVP scoping: ability to run technical & business discovery to define MVP agentic use cases, success metrics, and a feasible execution plan
•Enterprise data/integration fundamentals: APIs/integration patterns, governance/security, and the ability to assess data readiness and architectural feasibility

Experience:7+ yearsAIEnterprise data integrationRegulated industries

Skills:CommunicationLeadershipProblem-solvingStakeholder managementPresentation

Certifications:AI SpecialistData Cloud ConsultantAdminApp Dev

Languages:English

Tech Stack:AgentforceData CloudLLMsRAGSnowflakeDatabricksBigQuerySQLPythonApexLightning Web ComponentsAPIsJupyterPandas

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

4 months ago

AFD360 Solution Engineer - Regulated Industries

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Healthcare (Clinical, Medical, Wellness)

Seniority: Sr. Manager level

Key Responsibilities

•Design and run workshops, demos, and time-boxed POCs/pilots—scope the work, define success metrics, execute, and deliver a clean handoff to production lanes
•Lead deep technical + business discovery to scope MVP agentic use cases—translate outcomes/ROI into an executable architecture and activation plan
•Build secure, scalable Agentforce + Data Cloud solutions to validate technical feasibility and production readiness
•Drive activation—partner with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
•De-risk the path to value—assess feasibility across data, security/compliance, orchestration, and operational readiness to ensure the selected use case can scale and be adopted by real users

Pay and Benefits

Salary: USD 148,190 - 269,080 annually

Perks:Health Insurance401kVisionEquityRetirement

Key Requirements

•7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence
•Hands-on Agentforce (AI) and Data Cloud builder who can prototype and unblock (deep expertise with platform patterns; building workflows/automation and guiding agent build and data 360 best practices)
•Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, and how agentic systems behave in production (safety, reliability, governance)
•Deep discovery + MVP scoping: ability to run technical & business discovery to define MVP agentic use cases, success metrics, and a feasible execution plan
•Enterprise data/integration fundamentals: APIs/integration patterns, governance/security, and the ability to assess data readiness and architectural feasibility

Experience:7+ yearsAIEnterprise data integrationRegulated industries

Skills:CommunicationLeadershipProblem-solvingStakeholder managementPresentation

Certifications:AI SpecialistData Cloud ConsultantAdminApp Dev

Languages:English

Tech Stack:AgentforceData CloudLLMsRAGSnowflakeDatabricksBigQuerySQLPythonApexLightning Web ComponentsAPIsJupyterPandas

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor