Senior AI/ML Engineer - SMTS

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Job Category

Software Engineering

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.

Senior Member of Technical Staff - AI About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Role Description

Join the Agentic AI team at Salesforce working on Data Management and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations.

We work in a highly collaborative environment, and you will partner with a highly cross-functional team of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon CLAIRE Agentic Data Management , our innovative new AI framework. We value execution, clear communication, feedback and making learning fun.

Your Impact

You will:

• Develop, implement, test, and deliver highly scalable Agentic AI services, including Agents, AI Copilots/assistants, Chatbots, AI Planners, and RAG solutions.

• Lead the design, development, and quality strategy for scalable data services that empower enterprises.

• Analyze and provide feedback on technical feasibility.

• Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events.

• Actively communicate with, encourage and motivate all levels of staff. Drive technical knowledge sharing across cross-functional teams

• Be a domain expert for products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements.

• Troubleshoot complex production issues and work with support and customers as needed.

Required Skills

• 5+ years of experience in building highly scalable Software-as-a-Service applications/platform.

• Experience building technical architectures that deliver Agentic Solutions and AI Interfaces at Scale to address end to end Customer use cases

• Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity.

• Innovation/startup mindset to be able to adapt.

• Deep and foundational expertise in Model Architectures and AI Systems, including orchestration for large-scale production deployments.

• Proficiency in distributed systems, cloud native technologies like Kubernetes, multithreading, concurrency, caching, queues, and event-driven architecture

• Advanced Context Engineering , demonstrated through designing and building Agentic Experience and RAG solutions/Alternates for high-quality, contextualized AI experiences.

• Strong Evaluation-led benchmarking (NFRs, SLIs, SLOs) to ensure performance, scalability, and Customer Trust in AI/ML systems.

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues.

• Experience with the full software lifecycle in highly agile and ambiguous environments.

• Excellent interpersonal and communication skills.

• Strong coding proficiency in Java (Multithreading, and JVM tuning), or Python , and Object-Oriented design, focused on building highly scalable Agentic AI services.

• Experience with conversation-level testing, dynamic simulation environments (e.g., Benchforce/eVerse), and custom scorers for continuous agent improvement and evaluation ( ADLC ).

• Ability to design and implement inter-agent protocols (A2A) and Human-Agent Collaboration (HAC) frameworks to manage shared context and ensure responsible autonomy.

• Deep understanding and implementation of an AI Trust Layer to ground AI systems in enterprise context, ensuring security and auto-blocking threats like prompt injection.

Preferred Skills

• Expertise in Data architectures including designing and implementing data pipelines and real-time data systems for high-scale AI products.

• Familiarity with PySpark for large-scale data processing and distributed computing tasks within AI pipelines.

• Experience with continuous integration (CI) and continuous deployment (CD), and service ownership.

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: 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 $148,500 - $204,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,000 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.