Lead Engineer - AI Trust & Governance
Salesforce
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. We are seeking a highly skilled, hands-on, and
deeply technical Software Development Engineers to help build our AI Governance
platform from the ground up. This is a critical senior role responsible for
designing and developing both the front-end and back-end foundations of a
platform that enables safe, trusted, and scalable AI deployment across the
enterprise. This role will directly support our number one value: Trust You will
help architect and deliver a platform that spans governance, intake workflows,
lifecycle management, monitoring, observability, risk controls, and operational
tooling for AI systems and agents. We are looking for a builder who is
comfortable wearing multiple hats across software engineering, cloud
infrastructure, platform engineering, developer tooling, and user experience.
You should be energized by ambiguity, excited to build systems from scratch, and
motivated by solving difficult problems at the intersection of AI, governance,
trust, observability, and enterprise scale. What You’ll Do Key Responsibilities:
Full Stack Platform Development: Lead the end-to-end design, development, and
scaling of the AI governance platform, building both the front-end and back-end
components that support enterprise wide AI governance AI-Assisted Engineering:
Use AI development tools such as Claude and other coding assistants as part of
the software development lifecycle to accelerate delivery, improve code quality,
prototype faster, and enhance engineering productivity AWS Cloud Infrastructure
Development: Design and build secure, scalable, and resilient cloud native
infrastructure on AWS to support platform services, governance workflows, system
integrations, and application performance at enterprise scale ML and AI Platform
Services: Build and support platform capabilities that enable AI and machine
learning systems to be governed, monitored, tracked, and managed throughout
their lifecycle, including services that support model and agent operations
CI/CD Delivery Process Knowledge: Bring practical knowledge of CI/CD concepts,
automated testing, and deployment workflows, and release management practices to
help ensure the platform can be delivered reliably across environments
Architecture and Technical Design: Define and drive the overall platform
architecture, including service design, API strategy, data flows, integration
patterns, event-driven workflows, and system scalability considerations
Monitoring and Operational Visibility: Develop monitoring capabilities that
provide insight into system health, application performance, workflow execution,
service reliability, and platform usage across the governance ecosystem
Observability and Telemetry: Build observability components that capture logs,
metrics, traces, and runtime telemetry across platform services, enabling deeper
diagnostics, issue detection, root cause analysis, and ongoing operational
intelligence Generative AI Platform Development: Assist with designing and
developing Generative AI capabilities as part of the platform, including LLM
powered features, intelligent workflows, agent-based functionality, and other AI
native applications Technical Leadership and Ownership: Provide strong technical
leadership across the stack, establish engineering standards, influence design
decisions, mentor other engineers, and take ownership of delivering a strategic
platform from the ground up Cross Functional Collaboration: Partner closely with
product, architecture, security, compliance, governance, and engineering
stakeholders to translate business goals and trust requirements into scalable
technical solutions What We’re Looking For 10+ years of professional software
development experience with significant depth across both front-end and back-end
development Strong hands-on expertise in full stack development, including
modern front-end frameworks, API design, distributed systems, and back-end
application development. Proven experience building complex platforms or
enterprise applications from scratch Deep experience with AWS and cloud-native
architecture, including designing scalable, secure, and production grade
systems. Strong experience with platform engineering, developer infrastructure,
and production software delivery practices Demonstrated ability to build and
scale CI/CD pipelines, automated frameworks, and deployment workflows Experience
building systems with strong monitoring, observability, logging, telemetry, and
operational insight capabilities Strong architectural judgment Experience
working in environments where security, compliance, governance, and auditability
are important design considerations Comfort working across ambiguity and leading
technical execution in highly visible, high-impact initiatives Excellent
collaboration and communication skills Demonstrated experience using Generative
AI as part of the software development lifecycle Preferred Qualifications (Bonus
Points): Experience with Salesforce Ecosystem Experience building or supporting
AI governance, model governance, risk, trust, compliance, or observability
platforms Experience with Gen AI applications, LLM-powered systems, agentic
workflows, and model evaluation frameworks. Experience with MLOps, LLMOps, or AI
platform engineering, including model lifecycle tolling and development controls
Familiarity with data privacy, model risk, or regulatory considerations in
enterprise AI environments Experience in regulated or trust sensitive industries
where system reliability, governance, and control are critical Experience
designing systems for auditability, lineage, traceability, and evidence
management 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. 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: 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 $172,500 -
$260,100 annually. In select cities within the San Francisco and New York City
metropolitan area, the base salary range for this role is $207,800 - $285,800
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. 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.
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