AFD360 Solution Engineer - Regulated Industries

About This Role

This role is a customer-facing technical trusted advisor and hands-on builder within AFD360, focusing on Agentforce and Data Cloud in regulated industries. The Solution Engineer leads technical discovery, shapes proof points in customer environments, guides production readiness, and establishes a clear path to activation and consumption of AI-driven solutions.

Responsibilities

• Design and run workshops, demos, and time-boxed POCs/pilots, including scoping work, defining success metrics, executing, and delivering clean handoffs to production lanes
• Lead deep technical and business discovery to scope MVP agentic use cases, translating outcomes/ROI into executable architectures and activation plans
• Build secure, scalable Agentforce and Data Cloud solutions to validate technical feasibility and production readiness
• Drive activation by partnering with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
• De-risk the path to value by assessing feasibility across data, security/compliance, orchestration, and operational readiness to ensure selected use cases can scale and be adopted by users
• Serve as an expert technical overlay for internal teams and customers, accelerating scalable agent builds while enabling self-sufficient agentic capability through reusable patterns and enablement
• Evangelize Agentforce enablement across regulated industries by socializing current capabilities, roadmap updates, and best practices, and capturing and scaling field learnings
• Work closely with Product, FDE, and cross-OU AI SMEs to continuously sharpen technical depth, close skill gaps, and influence the roadmap through structured feedback loops
• Identify automation and process improvement opportunities, integrating both process and technical requirements to remove friction and accelerate activation
• Monitor early consumption/performance and 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-to-production transition, coordinating accountable delivery lanes and executing 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 and inform messaging/plays with Product Marketing
• Represent Salesforce at customer/industry events

Requirements

• 7+ years customer-facing solution/technical architecture experience
• Hands-on Agentforce (AI) and Data Cloud builder skills (platform patterns, workflows/automation, agent build, data 360 best practices)
• Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, and agentic systems behavior in production
• Deep discovery + MVP scoping ability to run technical & business discovery for agentic use cases, success metrics, and execution plan
• Enterprise data/integration fundamentals: APIs/integration patterns, governance/security, data readiness assessment, architectural feasibility
• Executive + technical communication skills (whiteboards, communication with developers and C-suite, translating architecture to outcomes/ROI)
• Proven POC/pilot leadership (designing time-boxed proof points with measurable success criteria and clean transition to production)
• Growth mindset: willingness to continually sharpen technical/advisory skills through enablement, labs, courses, and certifications

Qualifications

• 7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence.

Nice to Have

• 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
• SQL and/or Python proficiency (Jupyter/pandas helpful)
• 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
• Regulated industry background: HLS and/or FINS experience

Skills

* Required skills

Benefits

Certifications