Smartsheet

3 months ago

Senior Principal Forward Deployed AI Engineer (Remote Eligible)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead complex, end-to-end AI deployments for Smartsheet, architect multi-agent solutions, and develop reusable deployment kits and training materials. You will own client engagements from discovery to production, mentor junior engineers, and drive the intelligence loop across enterprise customers, delivering scalable AI surfaces and measurable impact.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
•Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
•Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
•Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
•Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.

Travel: Medium travel

Pay and Benefits

Salary: USD 227,500 - 245,000 annually

Perks:Health InsuranceDental401kRemote WorkLife InsuranceLearning BudgetPaid HolidaysParential Leave

Key Requirements

•6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
•Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organizations depend on.
•Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale.
•System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
•Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.

Experience:6-10 years

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptLLMMulti-agentMCPLangChainDatabricksAWS BedrockTemporal

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Smartsheet

Provides a cloud-based work management platform that enables teams to plan, track, automate, and report on work. Smartsheet combines spreadsheets, collaboration, and workflow automation to help organizations manage projects and processes at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn

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Smartsheet

3 months ago

Senior Principal Forward Deployed AI Engineer (Remote Eligible)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
•Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
•Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
•Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
•Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.

Travel: Medium travel

Pay and Benefits

Salary: USD 227,500 - 245,000 annually

Perks:Health InsuranceDental401kRemote WorkLife InsuranceLearning BudgetPaid HolidaysParential Leave

Key Requirements

•6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript.
•Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organizations depend on.
•Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimization, evaluation frameworks, agent deployment at scale.
•System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
•Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.

Experience:6-10 years

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptLLMMulti-agentMCPLangChainDatabricksAWS BedrockTemporal

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Smartsheet

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn