Senior/Lead AI Software Engineer, Agentforce for Supply Chain

About the role

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.

Responsibilities

• Drive Agent Development & Architecture
• Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
• Design and implement planning systems that enable agents to execute multi-step workflows autonomously
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
• Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps
• Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks
• Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices
• Mentor & Collaborate
• Mentor engineers to improve code quality, AI/ML practices, and system design
• Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
• Engage directly with customers to gather insights and validate technical approaches
• Contribute to hiring decisions and contribute to our culture of continuous learning

Requirements

• B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
• 5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Strong background in APIs, data modeling, and databases
• Proficient with modern AI orchestration frameworks (e.g., LangChain, LlamaIndex) and production-grade serving libraries like vLLM or Hugging Face
• Demonstrated ability to work both independently and collaboratively in a dynamic environment
• Excellent written and verbal communication skills
• Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
• Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP)
• A demonstrated, genuine AI-first approach to engineering
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

Qualifications

• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

Skills

• Experience with AI/ML
• Programming languages: Python, Go, Java, C++
• APIs, data modeling, databases
• Modern AI orchestration frameworks (e.g., LangChain, LlamaIndex)
• Production-grade serving libraries like vLLM or Hugging Face
• Enterprise-grade observability tools (e.g., Splunk)
• Cloud infrastructure (AWS/GCP)
• AI-first approach to engineering
• Advanced prompt engineering skills

Benefits

At Salesforce, we offer 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: https://www.salesforcebenefits.com.

Pay

The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.

Schedule

Not specified.