Senior AI Engineer, Agentforce Operations

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details 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. Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. You’ll be working alongside the founding team and engineers in an organization offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to build a '0 to 1' product in one of the fastest growing verticals within Salesforce. Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. Nowhere does modernizing them matter more than in the public sector, where the scale and stakes are highest. Missionforce Operations is reimagining the public sector supply chain with an AI-powered platform for designing, automating, and running end-to-end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a massive growth opportunity into public sector back office processes, with innovations that flow into the front office. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. As one user put it: “I’ve been waiting for this for 20 years.”

What you’ll do

As a Senior AI Angineer Agentforce & Missionforce Operations, you will help shape both the product and the engineering team. You will partner closely with product leaders, sector experts, and platform and forward-deployed engineers to deliver trusted AI systems for mission-critical public-sector workflows. Missionforce Operations is Agentforce Operations’ public-sector counterpart: rebuilt from the ground up to bring core capabilities to some of the world's most sensitive operating environments. In this role, you will lead the development of AI products and platform capabilities that perform complex tasks reliably, securely, and cost-effectively in environments where trust is mission-critical and data classification requirements are uncompromising. You will tackle a broad range of challenges, from building AI features tailored to public-sector customers, to designing systems with security, compliance, reliability, and operational constraints at their core. You will operate with wide autonomy, build alignment across engineering and product stakeholders, and raise the bar for technical quality, execution, and mentorship across the team.

Responsibilities Day-to-Day & Project Execution

Partner with product and forward-deployed engineers to build reliable new features for our AI platform.

Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency.

Design and implement planning, orchestration, and evaluation systems that enable agents to execute multi-step workflows autonomously.

Make and drive architectural decisions for mission-critical, highly available systems that operate across varied and constrained deployment environments.

Establish engineering practices for model evaluation, AI safety, observability, reliability, and cost management.

Long-Term Goals & Strategic Impact

Partner with Product Management and executive leadership to translate product vision into multi-year technical roadmaps.

Guide technical strategy for AI model deployment, safety constraints, reliability frameworks, and evaluation methodologies.

Drive the adoption of enterprise-grade observability, operational excellence, and cloud infrastructure practices.

Identify and mitigate technical risks related to security, compliance, scale, availability, and model behavior.

Help shape the organization by raising the engineering bar, contributing to hiring, and fostering a culture of continuous learning and high ownership.

Required Qualifications

• B.S. in Computer Science or equivalent with coursework in Artificial Intelligence (M.S. is a plus).
• 4+ years of industry experience in Software Engineering, with a focus in AI/ML.
• Strong proficiency in multiple programming languages, such as Python, Go, Java, or C++.
• Experience designing and operating production-grade distributed systems, APIs and data models.
• Deep expertise in model evaluation, including designing custom benchmarks, automated evaluation suites, and production telemetry for monitoring model quality, drift, reliability, and safety.
• Experience building production systems with LLM orchestration frameworks, along with the judgment to extend or move beyond those frameworks when reliability requirements demand it.
• Demonstrated ability to lead complex technical initiatives, make sound architectural decisions, and deliver through ambiguity.
• Proven ability to collaborate across engineering, product, customer-facing, and executive stakeholders to build alignment and drive decisions.
• Experience mentoring engineers and raising the quality of technical execution across a team.
• Excellent written and verbal communication skills.
• Enthusiasm for learning and growing as a software engineer, and for helping your peers do the same.

Preferred Qualifications

• Experience building products for regulated industries, particularly the public sector or environments with strong security, compliance, and data-sovereignty requirements.
• Familiarity with developing for classified or limited-connectivity environments, including Department of Defense Impact Levels such as IL6.
• Experience with enterprise-grade observability platforms, such as infrastructure as code, and cloud-native deployment practices.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience building AI products for supply chain, logistics, manufacturing, or operational workflows.
• Contributions to open-source software, patents, publications, or other notable technical work.

Accommodations

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

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 Candidate Privacy Statement 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.

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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience.

Certain roles may be eligible for incentive compensation, equity, and benefits.

Salesforce offers 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:

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually.

In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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.