Salesforce

1 month ago

Manager/Senior Manager, AI Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Lead the design and governance of AI agent workflows and architecture within Salesforce's Monetization AI initiatives. Bridge business strategy and engineering, owning multi-agent orchestration, integration with enterprise platforms, and the deployment lifecycle while ensuring scalability, reliability, and measurable value across AI agent systems.

Location: San Francisco, Chicago, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define the technical architecture for our agent portfolio (integration patterns, platform choices, guardrails).
•Design and govern multi-agent orchestration patterns — how agents hand off tasks, share context, and operate within composite AI systems.
•Own the connective tissue layer: how agents, APIs, workflows, and enterprise platforms are wired together and scaled reliably.
•Set standards for how agents are built, tested, and evaluated.
•Own agent performance post-deployment — monitoring, iteration, quality.

Key Requirements

•Built or deployed LLM-based agentic workflows (not just chatbots).
•Hands-on experience with agent orchestration frameworks (e.g., LangChain or equivalent) and multi-agent coordination patterns.
•Treats prompt engineering as foundational but not sufficient — part of a broader orchestration.
•Thinks in systems, not demos — focuses on maintainability, evaluation, and scale.
•Translates strategy and business needs into engineering requirements; strong collaboration with cross-functional teams.

Experience:AIAgentsMonetizationWorkflows

Skills:PythonLangChainLinuxSlackSnowflakeClaudeAgentforce

Languages:English

Tech Stack:PythonLangChainLinuxSnowflakeClaudeSlackAgentforce

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

Manager/Senior Manager, AI Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: San Francisco, Chicago, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define the technical architecture for our agent portfolio (integration patterns, platform choices, guardrails).
•Design and govern multi-agent orchestration patterns — how agents hand off tasks, share context, and operate within composite AI systems.
•Own the connective tissue layer: how agents, APIs, workflows, and enterprise platforms are wired together and scaled reliably.
•Set standards for how agents are built, tested, and evaluated.
•Own agent performance post-deployment — monitoring, iteration, quality.

Key Requirements

•Built or deployed LLM-based agentic workflows (not just chatbots).
•Hands-on experience with agent orchestration frameworks (e.g., LangChain or equivalent) and multi-agent coordination patterns.
•Treats prompt engineering as foundational but not sufficient — part of a broader orchestration.
•Thinks in systems, not demos — focuses on maintainability, evaluation, and scale.
•Translates strategy and business needs into engineering requirements; strong collaboration with cross-functional teams.

Experience:AIAgentsMonetizationWorkflows

Skills:PythonLangChainLinuxSlackSnowflakeClaudeAgentforce

Languages:English

Tech Stack:PythonLangChainLinuxSnowflakeClaudeSlackAgentforce

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