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AFDSolution Engineer - Regulated Industries
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-19
Listing for:
RTL2 Fernsehen GmbH & Co. KG
Full Time
position Listed on 2026-07-19
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
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 ,
- 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 ,
- (Desirable) Deep Data Cloud specialization: ingestion, modeling/harmonization, identity resolution, activation patterns; strong data architecture vocabulary (ETL/ELT, MDM, lake vs warehouse vs OLTP/OLAP) ,
- (Desirable) Strong engineering depth:
Apex and Lightning Web Components (or equivalent) and comfort operating across the SDLC; experience with “vibe coding” tooling is a plus , - (Desirable) SQL and/or Python proficiency (Jupyter/pandas helpful) and comfort with modern cloud data platforms/analytics tooling (Snowflake/Databricks/Big Query; Tableau/Looker/Power BI) ,
- (Desirable) Experience with other agent platforms (e.g., Gemini/Agentspace or similar) and broader AI automation implementations ,
- (Desirable) Consumption/business modeling: understands consumption levers and can map anticipated consumption spend from architecture/usage patterns (especially valuable for internal candidates) ,
- (Desirable) Regulated industry background: HLS and/or FINS experience strongly preferred ,
- (Desirable) Salesforce certifications (AI Specialist, Data Cloud Consultant, Admin/Advanced Admin, App Dev)
- As an AFD
360 SE, you are a customer-facing technical trusted advisor and hands-on builder , - You will lead technical discovery, shape and execute proof points in customer environments, guide production readiness, and establish a clear path to activation and consumption—blending executive presence with deep, full-stack technical skills across Salesforce, modern data architectures, and AI ,
- The AFD
360 SE (Agentforce + Data Cloud) is focused on a single transformative goal: helping customers become a true Agentic Enterprise by operationalizing Data + AI + Trust , - You will serve as a definitive SME for Agentforce and Data Cloud and guide customers across the lifecycle—from technical evaluation and close through activation, adoption, and expansion ,
- You'll 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,…
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