Salesforce
Technology
PrincipalArchitect
“Principal Architect at Salesforce. Skills: AI-Native Engineering, Agentic Systems, Enterprise Architecture. Architect AI-Native Lifecycle. Define foundational framework”
What You'll Achieve.
Build standards for AI industry; Build open source code for AI
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
15-20+ years of professional software engineering experience, 10+ years of hyper-dense experience backed by advanced research degree, Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or quantitative field, Proficiency in Rust, Python, Go, C++, or TypeScript, Experience building large-scale distributed systems, Experience building enterprise architectures, Experience building foundational infrastructure, Experience architecting mission-critical production systems
Nice to Have
Ph. D. in Computer Science/AI, Grasp of symbolic engineering and probabilistic AI, Designed orchestration systems, Pioneered architectural breakthroughs, Production-grade agentic experience, Designed agentic workflows, Built agentic workflows, Customized agentic workflows, Designed multi-agent choreographies, Built multi-agent choreographies, Customized multi-agent choreographies, Designed autonomous code-generation loops, Built autonomous code-generation loops, Customized autonomous code-generation loops, Deep understanding of frontier LLM architectures, Deep understanding of open source LLM architectures, Deep understanding of context-window dynamics, Deep understanding of RAG systems, Deep understanding of function-calling mechanics, Deep understanding of fine-tuning paradigms
What You'll Do.
Architect AI-Native Lifecycle
Define foundational framework
Build foundational framework
Scale foundational framework
Define review standards
Build review standards
Scale review standards
Define compilation/validation loops
Build compilation/validation loops
Scale compilation/validation loops
Turn business goals into architectural plans
Develop spec-driven methodologies
Develop deterministic validation strategies
Build infrastructure for agents
Design system topologies
Design multi-agent orchestration frameworks
Design context-bounding mechanisms
Establish rigorous evals
Lead creation of evaluation harnesses
Lead creation of golden test suites
Lead creation of semantic CI/CD gates
Lead creation of real-time behavioral monitoring
Pioneer technical taste
Act as arbiter of code quality
Act as arbiter of structural integrity
Act as arbiter of architectural purity
Ensure agent-accelerated development reduces debt
Partner with Executive Leadership
Partner with Security
Partner with Core Infrastructure
Align technical roadmaps
Act as thought leader internally
Act as thought leader externally
Mentor Principal engineers
Elevate Principal engineers
Mentor Staff engineers
Elevate Staff engineers
Foster culture of engineering judgment
Apply highest ethics for AI use
Build industry standards for AI
Build open source code for AI
How You'll Work.
Team & Collaboration
Cross-functional leadership; Executive Leadership; Product teams; Security teams; Core Infrastructure teams
Communication Scope
Thought leader
Process & Methodology
Roadmap planning
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