Senior/Lead AI Software Engineer, Agentforce for Supply Chain

salesforce.com, inc.

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Salesforce is hiring a Senior/Lead AI Software Engineer for the Agentforce Supply Chain team. You will lead development of intelligent agents, drive architectural decisions for scalable distributed systems, and design planning systems that enable autonomous multi-step workflows.

You’ll build production-grade software with AI at the core and mentor peers. You will collaborate with product, design, and leadership to translate business goals into multi-year technical roadmaps, ensure reliability,

Qualifications

  • A minimum of a B.S. in Computer Science or related field, a master's preferred.
  • 5+ years in software engineering with AI/ML focus; 7–12 for lead tracks.
  • Proficiency in Python, Go, Java, or C++ and API design experience.

Responsibilities

  • Lead development of intelligent agents that handle complex supply chain tasks with reliability.
  • Architect distributed systems serving millions of users with 24/7 availability.
  • Design planning systems for multi-step autonomous workflows.
  • Deliver production-grade software with AI as a core workflow component.
  • Integrate AI agents into human workflows to improve efficiency at scale.
  • Mentor engineers and collaborate with cross-functional teams.

Skills

AI/ML
Python
Go
Java
C++
APIs

Education

B.S. in Computer Science (M.S. preferred)

Tools

Splunk
AWS
GCP

Job description

Overview

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The company values ambition, action, trust, and innovation. Agentforce is described as the future of AI, with a role in transforming AI-powered workflows for supply chains and back-office operations within Salesforce.

As a Senior/Lead AI Software Engineer on the Agentforce Supply Chain - Agent Team, you will drive the ongoing development of intelligent agents that complete complex tasks, plan work, and execute to drive consistency, correctness, and automation.

What You\'ll Actually Be Doing
  • Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
  • 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 the development workflow
  • Design and orchestrate complex systems where AI agents integrate into human workflows to drive efficiency and innovation at scale
  • Contribute to building and maintaining the shared system context that enables AI to operate accurately and reliably
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance
Lead Technical Strategy
  • 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
  • Participate in hiring decisions and contribute to a culture of continuous learning
Qualifications
  • 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 and production-grade serving libraries
  • 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
  • A proven collaborator who can manage stakeholders and drive consensus across diverse teams
  • Experience with enterprise-grade observability tools and cloud infrastructure (e.g., Splunk, AWS/GCP)
  • A genuine AI-first approach to engineering and the ability to move faster with AI
  • Experience using AI tools in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts
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 experiences that customers love. Apply to shape the future for yourself, AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.

Please note that Salesforce uses AI tools to help recruiters assess and evaluate candidates\' resumes and qualifications. Humans will always make hiring decisions. See our Candidate Privacy Statement for information about how we use personal data and rights regarding 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. Recruitment, hiring, and promotion decisions are based on merit, without regard to protected characteristics. In the United States, compensation is determined by factors such as location, job level, knowledge, skills, and experience. Base salary ranges are provided for transparency, and benefits include time off, health coverage, retirement plans, and stock programs.

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