Principal AI Solutions Engineer – Salesforce AI Labs

Salesforce

. Build working prototypes, API integrations, and agent workflows spanning multiple products and enterprise systems .

Posted 10/23/2026full-timeUnited StatesLead💰 $236,810 - $316,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrated ability to build customer-facing software and integrations, with strong coding skills in Python and TypeScript/JavaScript. Proficient in modern API architectures and capable of delivering reliable demonstrations that connect customer needs with business results.

Highest-signal resume keywords

Python ProgrammingTypeScript/JavaScript DevelopmentAPI Architecture FluencyCustomer-Facing Software DevelopmentExperience with OpenAI and Anthropic Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software PrototypingIntegration DevelopmentDebugging Across ServicesEvent-Driven IntegrationData ContractsObservability in WorkflowsProcess IntelligenceWorkflow AutomationTechnical PrototypingReusable Technical Assets Creation

Soft Skills

Strong StorytellingPresentation SkillsInitiativeAbility to Work Through AmbiguityCustomer Engagement

Tools & Technologies

OpenAIAnthropicAgent FrameworksDigital Experience PlatformsIntegration Components

Industry Keywords

Customer ResearchSolutions EngineeringApplied AI EngineeringForward-Deployed EngineeringEnterprise Systems

Tech Stack

Tools & technologies

JavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build working prototypes, API integrations, and agent workflows spanning multiple products and enterprise systems
Work with customers, portfolio leaders, and go-to-market teams to identify high-value use cases
Develop reliable, repeatable demonstrations connecting customer needs, system actions, and business results
Present to executives, customers, developers, and sales teams at appropriate levels of technical depth
Experiment with new agentic experiences and architectures
Distinguish available capabilities, working prototypes, and future concepts
Package reference architectures, integration components, demo environments, and playbooks for reuse
Establish baselines and evaluate implementation time, process cycle time, cost to serve, service resolution, and customer experience
Surface integration gaps, customer demand, and technical constraints to product and engineering leaders
In the first 30 days, understand the portfolio, map integration opportunities, and select two high-value customer scenarios
By 60 days, deliver one working multi-product demonstration with documented dependencies and initial reliability and value evaluation
By 90 days, validate the scenario with customer or field teams, package it for reuse, and propose next build priorities

Requirements

What you’ll need

Track record of personally building customer-facing software, integrations, or technical prototypes solving real business problems
Strong coding skills in Python, TypeScript/JavaScript, or comparable languages
Ability to build and debug across services and create a usable demonstration interface
Fluency in modern API architectures, including authentication, webhooks, event-driven integration, data contracts, and reliable execution across systems
Practical experience with models and tools from providers such as OpenAI and Anthropic
Experience with relevant open-source agent frameworks and harnesses
Understanding of tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval within agent workflows
Judgment regarding model limitations, reliability, latency, cost, data access, and prototype-to-deployment requirements
Strong storytelling and presentation skills, including live demonstrations
Initiative to work through ambiguity, learn unfamiliar products quickly, and ship useful iterations with a small team
Ability to turn broad ambitions into testable use cases with a credible path to customer value
Useful experience in forward-deployed engineering, applied AI engineering, solutions engineering, or customer-facing solution architecture
Experience building demonstrations or proofs of value involving multiple enterprise products
Experience with process intelligence, workflow automation, customer research, customer service, or digital experience platforms
Experience creating reusable technical assets for multiple customers or go-to-market teams
Startup or founding-engineer experience with direct customer engagement

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Potential incentive compensation, equity, and benefits, as applicable
Reasonable accommodation during the application or recruiting process