Salesforce

1 month ago

AI Architect - Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

Lead incubation of agentic AI systems and shape enterprise-scale architecture for Salesforce's Agentforce platform. Write code and technical content, design runtimes, and present to executives while collaborating with customers to translate complex agent capabilities into tangible, trustworthy outcomes.

Location: Palo Alto, Seattle, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Invent and incubate agentic AI technologies — new execution models, agent orchestration frameworks, and stateful runtime architectures for enterprise use.
•Shape core platform architecture across Agentforce — agent determinism, A2A protocols, long-running async workflows, and context engineering.
•Partner with strategic customers to understand business context and co-design solutions using Agentforce.
•Write design docs, engineering blog posts, developer documentation, and external presentations to communicate technical direction.
•Collaborate across engineering, product, and field to raise the technical bar and influence multiple teams.

Pay and Benefits

Salary: USD 218,400 - 365,200 annually

Key Requirements

•Expert in distributed systems, stateful runtimes, and LLM-based agent architectures.
•Experience building orchestration frameworks, graph-based execution engines, or agent DSLs.
•Strong grasp of LLM behavior, context management, and agent reliability in production.
•Fluency in Python and Java; comfortable with cloud-native infra.
•Curiosity about and familiarity with frontier agentic research — reasoning loops, tool use, memory architectures, and multi-agent systems.

Experience:AIEnterprise AICloud computingDistributed systems

Skills:PythonJavaDistributed systemsAgent orchestrationLLMCloud-nativeRuntime architectures

Languages:English

Tech Stack:PythonJavaLLMDistributed systemsAgent DSLsCloudA2A protocolsStateful runtimes

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

1 month ago

AI Architect - Software Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

Location: Palo Alto, Seattle, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Invent and incubate agentic AI technologies — new execution models, agent orchestration frameworks, and stateful runtime architectures for enterprise use.
•Shape core platform architecture across Agentforce — agent determinism, A2A protocols, long-running async workflows, and context engineering.
•Partner with strategic customers to understand business context and co-design solutions using Agentforce.
•Write design docs, engineering blog posts, developer documentation, and external presentations to communicate technical direction.
•Collaborate across engineering, product, and field to raise the technical bar and influence multiple teams.

Pay and Benefits

Salary: USD 218,400 - 365,200 annually

Key Requirements

•Expert in distributed systems, stateful runtimes, and LLM-based agent architectures.
•Experience building orchestration frameworks, graph-based execution engines, or agent DSLs.
•Strong grasp of LLM behavior, context management, and agent reliability in production.
•Fluency in Python and Java; comfortable with cloud-native infra.
•Curiosity about and familiarity with frontier agentic research — reasoning loops, tool use, memory architectures, and multi-agent systems.

Experience:AIEnterprise AICloud computingDistributed systems

Skills:PythonJavaDistributed systemsAgent orchestrationLLMCloud-nativeRuntime architectures

Languages:English

Tech Stack:PythonJavaLLMDistributed systemsAgent DSLsCloudA2A protocolsStateful runtimes

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor