Software Engineering PMTS Architect

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Job Category

Software Engineering

Job Details

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 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 a seamless and intuitive experience across all business functions. Designed to enhance productivity, streamline workflows, and provide actionable intelligence, Agentforce ensures that organizations can make data-driven decisions with confidence. 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 MLOps 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; 3–5+ years building AI/ML systems at scale
• Expertise in at least one object oriented programming language (Java/C++) and one ML native language (Python).
• Strong experience in Applied AI and building AI applications.
• Deep experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
• Familiarity with LLMs, vector databases, and applied generative AI (e.g., OpenAI, LangChain, LlamaIndex, RAG pipelines).
• Strong background in system design, distributed systems, and cloud-native architectures (AWS/GCP).
• Experience in building and scaling 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:

• Contributions to open-source AI/ML projects
• Patents, papers, blogs, or other external publications
• Strong startup mindset demonstrated by innovation-first projects
  
  

Accommodations

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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.

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