Salesforce · 21 hours ago
AFD360 Solution Engineer - Regulated Industries (Internal Only)
Columbus, OH
Full-time
Hybrid
Senior Level
$148K/yr - $269K/yr
7+ years expSalesforce is the #1 AI CRM, focused on driving customer success through innovation and technology. The AFD360 Solution Engineer will act as a customer-facing technical advisor, leading technical discovery and guiding customers through the lifecycle of adopting Data Cloud and AI solutions.
Artificial Intelligence (AI)Cloud ComputingEnterprise SoftwareSaaSSoftwareAgentic AICRMSales Enablement
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
Serve as an expert technical overlay for internal teams and customers—accelerate scalable agent builds while enabling a self-sufficient agentic capability through reusable patterns, guardrails, and enablement
Evangelize Agentforce enablement across REG—socialize current capabilities, roadmap updates, and best practices; capture and scale field learnings
Work closely with Product, FDE, and cross-OU AI SMEs to continuously sharpen technical depth, close skill gaps, and influence roadmap through structured feedback loops
Identify automation and process improvement opportunities—intake both process and technical requirements to remove friction and accelerate activation
Monitor early consumption/performance; advise on optimization and consumption plan updates
Understand consumption levers and model anticipated consumption spend based on architecture and usage patterns
Own a crisp POC→production transition—coordinate accountable delivery lanes (customer CoE, SI, ProServ, FDE, CS) and execute clean handoffs to ensure durable activation and scalable outcomes
Build reusable accelerators (POC assets, playbooks, best practices) and enable others to scale delivery
Drive Voice of the Customer into Product; inform messaging/plays with Product Marketing
Represent Salesforce at customer/industry events (Dreamforce, World Tours, etc.)
Qualification
Required
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
Executive + technical communication: able to lead whiteboards and communicate with developers and C-suite with equal fluency—translate architecture to outcomes/ROI
Proven POC/pilot leadership: designs time-boxed proof points with measurable success criteria and clean transition to production lanes
Growth mindset: willingness to continually sharpen technical/advisory skills through required enablement, labs, courses, and certifications
Preferred
Deep Data Cloud specialization: ingestion, modeling/harmonization, identity resolution, activation patterns; strong data architecture vocabulary (ETL/ELT, MDM, lake vs warehouse vs OLTP/OLAP)
Strong engineering depth: Apex and Lightning Web Components (or equivalent) and comfort operating across the SDLC; experience with 'vibe coding' tooling is a plus
SQL and/or Python proficiency (Jupyter/pandas helpful) and comfort with modern cloud data platforms/analytics tooling (Snowflake/Databricks/BigQuery; Tableau/Looker/Power BI)
Experience with other agent platforms (e.g., Gemini/Agentspace or similar) and broader AI automation implementations
Consumption/business modeling: understands consumption levers and can map anticipated consumption spend from architecture/usage patterns (especially valuable for internal candidates)
Regulated industry background: HLS and/or FINS experience strongly preferred
Salesforce certifications (AI Specialist, Data Cloud Consultant, Admin/Advanced Admin, App Dev)
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Kendall Collins
CEO, GovCloud - Salesforce
Recent News
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