Software Engineering Architect
Salesforce7 days ago
Base Salary
$218k - $401k/yr
Responsibilities
- Own the strategy and architecture for Salesforce’s internal agentic platform and define adoption direction for MCP, including tool discovery, interoperability, identity, authorization, and lifecycle management.
- Define reusable capabilities for agent orchestration, tool and skill integration, runtimes, state and memory, human oversight, evaluation, observability, and production operations.
- Guide the integration and evolution of Mastra AI and LangChain/LangGraph while maintaining a coherent and extensible platform.
- Design a secure, extensible LLM Model Gateway with consistent model access, policy enforcement, observability, resilience, and governance.
- Drive model portfolio and economics decisions across SLMs, LLMs, hosted models, open-weight models, fine-tuned models, and specialized models.
- Own context engineering and enterprise knowledge strategies, including RAG, Graph RAG, search, and permission-aware retrieval systems.
- Set shared standards for security, privacy, governance, reliability, observability, evaluation, and human oversight across agents, models, tools, and data.
- Enable AI-assisted developer experiences for code understanding and generation, testing, code review, debugging, modernization, documentation, and release or operational workflows.
- Prototype solutions, validate architecture through working systems, review designs, resolve technical tradeoffs, and help deliver systems into production.
- Align engineering, product, security, data, and infrastructure partners around platform strategy and delivery while mentoring engineers and technical leaders.
Requirements
- 15+ years of experience designing and delivering large-scale distributed systems, developer platforms, AI platforms, or infrastructure services.
- Track record of setting strategy and technical direction across teams and carrying it through implementation and production operation.
- Strong expertise in agentic platform architecture and hands-on experience creating platform capabilities for application teams.
- Hands-on experience with agentic frameworks such as Mastra AI and LangChain/LangGraph, including evaluating tradeoffs and establishing scalable patterns.
- Experience designing model gateways, inference platforms, model-serving systems, model orchestration layers, or equivalent shared services.
- Experience evaluating models against real workloads and understanding quality, latency, throughput, reliability, and cost tradeoffs.
- Familiarity with SLMs, LLMs, model routing, fine-tuning, quantization, and inference optimization.
- Experience building enterprise knowledge or retrieval systems using RAG, Graph RAG, search, or related approaches.
- Experience designing APIs and extensible integration patterns; familiarity with MCP or comparable tool and protocol ecosystems is preferred.
- Expertise in areas such as identity and authorization, data platforms, retrieval and search, context management, workflow orchestration, platform security, or developer experience.
- Understanding of software development workflows and how to assess AI-related improvements to developer experience, productivity, and engineering outcomes.
- Strong judgment regarding security, privacy, reliability, performance, and operational cost.
- Strong communication skills and ability to build alignment across engineering, product, security, and business teams.
- Experience using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor and writing precise, structured prompts.
- A related technical degree is required.
- Preferred experience includes production LLM or agent systems, evaluation and telemetry, AI-enabled developer tools, internal platforms, multi-model architectures, technical standards, open-source projects, or cross-organization architecture initiatives.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Certain roles may be eligible for incentive compensation, equity, and additional benefits.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Categories
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.