Principal AI Engineer
$218.4k - $365.2kSalesforce
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: Software Engineering 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. Software Engineering Principal AI Engineer This is a hands‑on Software Engineering Principal/Architect role embedded directly inside the Salesforce Marketing organization. You will act as the principal technical builder and architect who identifies the most time‑consuming, repeatable workflows across Marketing – campaign creation, audience segmentation, content production, performance analysis and reporting – and designs and builds production‑grade AI agents that own them end‑to‑end. This is not a Solutions Architect, pre‑sales, IT, consulting, or marketing automation operations role. You report to Marketing leadership, sit with the Marketing teams doing the work daily, and are measured by concrete business outcomes: workflow hours saved, campaigns shipped faster, and error rates reduced – not tickets closed or systems documented. You are equally comfortable whiteboarding complex system designs as you are writing production code and shipping working agents. You bring deep software engineering rigor to marketing workflows, understanding that automation here is not purely technical – it must respect brand guidelines, creative judgment, legal/compliance requirements, and human decision points. You know exactly where to draw that line. Key Responsibilities Workflow Discovery & Architectural Mapping Partner closely with Marketing strategy, operations, and creative leads to surface highest-impact, repeatable workflows Design comprehensive end‑to‑end workflow architectures, identifying automation boundaries, human-in‑the‑loop decision gates, error handling, retry logic, and fallback paths Prioritize opportunities and maintain a clear technical roadmap that balances impact, complexity, and dependencies Systems Design & Agent Development Architect and build scalable, reliable AI agents that execute full marketing workflows (brief generation, audience building, content creation, approval routing, performance reporting, etc.) Design and implement distributed systems that securely integrate with Marketing’s existing tools: Salesforce Marketing Cloud, Agentforce, Slack, Google Workspace, and internal data platforms Apply modern software architecture principles (spec‑driven design, event‑driven design, microservices patterns where appropriate, observability, fault tolerance) to ensure agents are production‑grade and can scale with Marketing’s growing demands Ship high‑quality, secure, testable code using current engineering practices while aggressively leveraging AI coding tools to accelerate delivery Measurement, Iteration & System Context Define and instrument success metrics for every agent (time saved, throughput, accuracy, cost, observability) Maintain and evolve a shared, explicit system context repository (architecture decisions, constraints, standards, domain knowledge) that enables reliable AI operation Critically review all code – whether human or AI‑generated – for correctness, security, performance, and maintainability Communicate technical trade‑offs and architectural decisions clearly to non‑technical Marketing leadership Required Qualifications 9+ years of professional software engineering experience, with at least 4+ years explicitly in software architecture or principal/engineer‑level roles Strong experience designing and building distributed systems – handling concurrency, state management, fault tolerance, eventual consistency, and observability at scale Proven track record shipping production‑grade software that real users rely on daily (not just prototypes or internal tools) Hands‑on experience integrating enterprise platforms via APIs (Salesforce, Marketing Cloud, Slack, Google Workspace, or equivalent) Experience designing and deploying AI‑assisted agents or LLM‑powered workflows in production environments Deep comfort with modern development practices: automated testing, CI/CD, infrastructure‑as‑code, security & compliance controls Strong written and verbal communication – able to produce clear architecture diagrams, decision records, workflow maps, and stakeholder updates Preferred Qualifications Hands‑on experience with Salesforce Marketing Cloud, Agentforce, or the broader Salesforce platform Background that blends deep engineering with product or operations exposure (founding engineer, early‑stage startup, or similar) Salesforce certifications (Administrator, Marketing Cloud Consultant, Agentforce, etc.) are a plus but not required Demonstrated AI‑first engineering mindset – extensive real‑world use of tools like Claude Code, Cursor, GitHub Copilot, etc., to move faster while maintaining quality Advanced skills in prompt engineering, system context design, and evaluation frameworks for reliable AI output Passion for marketing technology and a genuine desire to amplify Marketing creativity and velocity through world‑class software architecture If you are a software engineering architect who loves building elegant, reliable systems and wants to apply that craft inside a high‑impact Marketing organization, this role is for you. You will have significant autonomy, direct access to stakeholders, and the ability to see the business impact of your architecture and code immediately. Accommodations If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. 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. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. 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. Pertinent 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. The typical base salary range for this position is $218,400 – $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 – $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits. #J-18808-Ljbffr salesforce.com, inc.
$280k - $320k
...yet. That's not a problem. That's an opening. ZeroRFI is the AI company building the intelligence layer for the built... ...faster, and more predictable than the last. We're looking for a Principal Software Engineer to architect the systems that put AI at the center of how...SuggestedWork at officeHome office- Required Skills AI/ML, Python, agentic AI frameworks, GenAI Key Responsibilities Own and define enterprise-grade GenAI architectures... ...Use‑Case Delivery (FDE Model) Act as a Forward Deployed Principal Engineer , partnering directly with business and product teams to...Suggested
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Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust... ...use cases. Establish enterprise standards, governance models, engineering patterns, and best practices for Knowledge Graph development,...For contractors- We’re hiring: Principal Applied AI Engineer, Agentic Intelligence at SenseMesh Most systems watching the physical world still stop at detection, alerts, and fragmented workflows. SenseMesh is building a real-time AI operating system for the physical world — a system that...
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About the Role Principal AI/ML Engineer - AdTech Drive the development of advanced machine‑learning models and AI‑driven features for Zeta’s advertising platform. Design, build, and deploy scalable, low‑latency ML solutions for campaign optimization, user personalization...- Crusoe is seeking a Senior Staff Systems Engineer to design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You will operate at the intersection of AI, enterprise systems, and integration...
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...Shield AI in San Francisco is seeking a Principal Engineer to define and build the AI and data platform for autonomy systems. The role requires experience in ML infrastructure at scale and defining compute strategies across various environments. Responsibilities include...- ...San Francisco, CA - Hybrid Responsibilities Strong experience in data engineering, data platforms, distributed systems, or enterprise data infrastructure. Practical experience building AI-enabled data systems, retrieval systems, semantic layers, or data agents. Strong...
$242.63k
Pinterest is looking for a Principal Engineer on the AI Platform team in San Francisco. In this role, you will help architect the infrastructure for Generative AI and Recommender Systems. You’ll set the technical vision, drive strategic initiatives, and cultivate a collaborative...- A technology company is looking for a Principal Software Engineer to join their agile AI Governance team. This role involves developing Java microservices and integrating various AI platforms to support their industry-leading governance products. Ideal candidates will...
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Lila Sciences is seeking a Sr Principal / Principal Software Engineer to join their innovative team in San Francisco, CA. You will design and build AI-driven applications, focusing on performance, reliability, and cross-functional collaboration with scientists. Ideal candidates...Flexible hours$156.4k - $301k
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