AFD360 Solution Engineer - Regulated Industries

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About AFD360

AFD360 is Salesforce’s high-leverage 'agentic acceleration' function for Agentforce and Data Cloud in regulated industries. We sit at the intersection of pre-sales and delivery to help customers move from interest and pilots to production-grade agents with measurable usage and value—then scale what works through reusable assets and enablement.

The Opportunity

As an AFD360 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.

Role Description

The AFD360 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.

Your Impact

• 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.)

Required Qualifications

• 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 Qualifications

• 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).

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,190 - $269,080 annually

There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $162,960 - $295,890 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.