Principal AI Solutions Engineer - Salesforce AI Labs

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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.

The opportunity

Salesforce AI Labs brings together AI-native businesses and software companies evolving toward agentic business models. Each has distinctive strengths, customers, and a focused go-to-market strategy. Our opportunity is to connect these capabilities into new ways for customers to operate, respond, and grow.

We are building a small team of hands-on technology builders who can turn that opportunity into working software and compelling business stories. You will connect products, models, agents, and data into demonstrable solutions—and help customers and executives understand their value.

This is a senior individual-contributor role combining software engineering, applied AI, solution architecture, and storytelling. You will move comfortably from a customer problem to code, from an API integration to a live demonstration, and from technical detail to an executive conversation.

Your mission

Build and demonstrate how capabilities across the Salesforce AI Labs portfolio can work together to deliver measurable customer outcomes faster.

You will show what customers can achieve with current capabilities, explore what becomes possible through new combinations, and make the path between the two clear.

What you will do

- Build connected solutions. Create working prototypes, API integrations, and agent workflows spanning multiple products and enterprise systems.
- Start with the business problem. Work with customers, portfolio leaders, and go-to-market teams to identify use cases where combining capabilities produces meaningful additional value.
- Create compelling demonstrations. Develop reliable, repeatable experiences that make complex technology understandable and show a clear connection between customer needs, system actions, and business results.
- Tell the story at every level. Present to executives, customers, developers, and sales teams, adapting the depth while preserving technical credibility.
- Explore the next opportunity. Use rapid experimentation to test new agentic experiences and architectures. Clearly distinguish available capabilities, working prototypes, and future concepts.
- Make the work reusable. Package reference architectures, integration components, demo environments, and playbooks that other teams can adopt.
- Measure value and speed. Establish baselines and evaluate outcomes such as implementation time, process cycle time, cost to serve, service resolution, and customer experience.
- Connect learning to product decisions. Surface integration gaps, customer demand, and technical constraints to product and engineering leaders, with evidence from what you build.

What you bring

- A track record of personally building customer-facing software, integrations, or technical prototypes that solve real business problems.
- Strong coding skills in Python, TypeScript/JavaScript, or comparable languages, with the ability to build and debug across services and a usable demonstration interface.
- Fluency in modern API architectures, including authentication, webhooks, event-driven integration, data contracts, and reliable execution across systems.
- Practical experience building with models and tools from providers such as OpenAI and Anthropic, alongside relevant open-source agent frameworks and harnesses.
- Understanding of tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval within agent workflows.
- Sound judgment about model limitations, reliability, latency, cost, data access, and the requirements for moving from prototype to customer deployment.
- Strong storytelling and presentation skills, including the ability to deliver a live demonstration and explain its business significance.
- The initiative to work through ambiguity, learn unfamiliar products quickly, and ship useful iterations with a small team.
- The ability to turn a broad ambition into a testable use case with a credible path to customer value.

Experience that would be especially useful

- Forward-deployed engineering, applied AI engineering, solutions engineering, or customer-facing solution architecture.
- Building demonstrations or proofs of value involving multiple enterprise products.
- Process intelligence, workflow automation, customer research, customer service, or digital experience platforms.
- Creating reusable technical assets that support several customers or go-to-market teams.
- Startup or founding-engineer experience with direct customer engagement.

What success could look like in the first 90 days

These are proposed initial outcomes, to be calibrated to product access and team capacity:

- First 30 days: Understand the portfolio, map integration opportunities, and select two high-value customer scenarios with business sponsors and measurable outcomes.
- By 60 days: Deliver one working demonstration across multiple products, with a clear story, documented dependencies, and an initial evaluation of reliability and value.
- By 90 days: Validate the scenario with customer or field teams; package it for reuse; and propose the next build priorities based on evidence.

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 need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

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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 $215,250 - $287,910 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 $236,810 - $316,750 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.
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