Principal Software Engineer (PMTS) - Agentic AI

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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.

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 organisations.

We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised 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:

• Architect, design and deliver AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions.

• Be accountable for defining and driving software architecture that meet enterprise grade security, scalability, performance, fault tolerance and extensibility requirements.

• Collaborate with other senior engineers and architects within the team and across the company to build AI solutions for Agentic Data Management.

• Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps.

• Analyze, develop proof-of-concepts and provide feedback on product strategy and technical feasibility.

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

• Mentor and motivate staff engineers, setting technical directions, and driving adoption of software engineering best practices

• Be a domain expert for multiple 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

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

• Experience building technical architectures that deliver Agentic Solutions 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 expertise in Model Architectures and AI Systems, including orchestration for large-scale production deployments.

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

• 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.

• Technical Leadership in Agentic Development, including designing and implementing agentic solutions and AI interfaces.

• Strong System design experience for Enterprise Grade AI products at Scale

• 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 experience in Python and Java for building robust, production-grade 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

• 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.

Benefits & Perks

• Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

• World-class enablement and on-demand training with Trailhead.com.

• Exposure to executive thought leaders and regular 1:1 coaching with leadership.

• Volunteer opportunities and participation in our 1:1:1 model for giving back to the community.

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, and our AI agents accelerate your impact so you can. 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 .

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 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. 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.