Software Engineering PMTS

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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.

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.

About Agentforce
At Salesforce, Agentforce embodies our commitment to leveraging AI, data analytics, and CRM to revolutionize business operations. Agentforce integrates advanced AI capabilities and real-time data insights to deliver Agentic AI solutions. Designed to enhance productivity, streamline workflows, and provide actionable intelligence, Agentforce ensures that organizations can augment their workforces with digital labor. Upholding the highest standards of trust and security, Agentforce empowers businesses to build stronger customer relationships, drive growth, and achieve their goals with unparalleled efficiency and reliability.

Role Description

As a Senior Engineering contributor on the Agentforce platform team, you will own the architecture, design, and execution of our Agentic AI platform and applications. You’ll collaborate closely with software engineers, data scientists, product managers, and data teams to build and turn cutting-edge architecture and research into scalable, production-ready systems.

You are not just a coder — you are a thought leader, innovator, builder and mentor who thrives on ownership and pushing boundaries in applied machine learning and software engineering, in a rapidly changing and cutting edge space. 

Key Responsibilities

Lead architecture and development of AI-powered backend systems and services.
Design and optimize data pipelines for training and inference at scale.
Work with product and business teams to translate user needs into technical requirements.
Set technical direction and mentor engineers across teams.
Drive adoption of ML best practices for model training, deployment, monitoring, and governance.
Innovate in model building,but in how models are trained,deployed,and monitored
Make strategic technical decisions on build vs buy, model selection, and infrastructure.

Required Skills

12+ years of software engineering experience; 3+ years building AI/ML systems at scale
Deep knowledge of object oriented programming and experience with at least one object oriented programming language preferably Java
Strong hands-on experience in coding and building Applied AI and AI applications
Familiarity with LLMs, vector databases, and applied generative AI (e.g., OpenAI, RAG pipelines)
Strong background in system design, distributed systems, and cloud-native architectures (AWS/GCP)
Experience in building and scaling Agentic AI experiences, ML pipelines, data engineering workflows, and API platforms
Proven ability to lead cross-functional teams and mentor engineers
Strong communication and collaboration skills across technical and non-technical teams
Ability to translate complex AI concepts into pragmatic engineering decisions
Experience in startups or high-growth tech companies

Preferred Skills
Solid experience in API development, API lifecycle management and/or client SDKs development
Experience with machine learning or cloud technologies like AWS sagemaker, terraform, spinnaker, EKS, GKE
Experience with data engineering, data pipelines or distributed systems
Experience with Agile development methodologies, pair programming, continuous integration (CI) and continuous deployment (CD)
Familiarity with Salesforce Core technology
Ability to support/resolve production customer escalations with excellent debugging and problem solving skills
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

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.

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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.