Salesforce is seeking an experienced Security/IAM AI & ML Software Architect to lead the design and evolution of intelligent identity+security platforms powered by data, analytics, and machine learning to deliver cloud-scale security services and drive innovation in the agentic era
Requirements
- 15+ years of software development experience
- 7+ years designing and delivering enterprise-scale Security architectures in cloud and hybrid environments
- Demonstrated experience architecting data-intensive, ML-enabled security platforms
- Deep understanding of IAM technologies and protocols: IGA, SSO, RBAC/ABAC, PAM, Directory Services, OAuth2, OIDC, SAML, SCIM, LDAP, CAEP
- Strong grasp of identity lifecycle, entitlement models, SoD, and compliance frameworks (SOX, NIST, CMMC)
- Experience with identity threat detection, continuous access evaluation, and zero trust architectures
- Strong understanding of ML concepts as applied to security, including anomaly detection, classification and risk scoring
Responsibilities
- Lead the architectural design for AI/ML enabled IAM capabilities, including identity lifecycle and access governance, risk-adaptive authentication and authorization, Privileged Access Management (PAM) risk scoring and session analytics, identity threat detection and response (ITDR), Continuous Access Evaluation (CAE) and policy decisioning
- Define and maintain the Enterprise Identity Intelligence reference architecture, including data flows, ML pipelines, decision engines, and feedback loops
- Architect scalable platforms to collect, normalize, enrich, and analyze Security/Identity data, including user, device and non-human identities, authentication events, access requests, entitlements, sessions, and behavioral telemetry
- Partner with security data science teams to design, deploy, and operationalize ML models for anomaly detection and behavioral baselining, identity risk scoring and modeling, privilege misuse and lateral movement detection, access recommendation, role mining, and policy optimization
- Develop proof of concepts to validate ML feasibility, data quality, and performance at scale
- Lead threat modeling and architecture assessments for AI-driven IAM components and their dependencies
- Enable IAM administration and onboarding platforms to adopt ML-driven identity standards
Other
- 15+ years of software development experience
- Ability to collaborate with architects, engineering leads, data scientists, and product managers to define long-term architectural vision
- Strong coding skills
- Experience with cloud platforms
- Certifications: CISSP, CCSP, TOGAF or relevant cloud/security certifications
- Bachelor's degree or equivalent experience
