3 months ago

Sr. Forward Deployed AI Engineer (Remote Eligible in Germany)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead complex, end-to-end AI deployments for Smartsheet, architecting multi-agent systems and production-ready solutions. You’ll own engagement lifecycles, tailor MCP resource packs for customers, and develop Deployment Kits used by a broad Solutions team. You’ll mentor junior engineers, drive the intelligence loop with field findings, and travel 25–50% as you scale AI solutions across industries from Germany, with English as the working language.

Location: Munich

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead complex 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

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 with customer relationships, security reviews, and production systems
•Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale
•System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services
•Demonstrated ability to create reusable technical assets that others use in production; think in platforms, not projects

Experience:6-10 yearsEnterprise softwareAI/MLLLMMulti-agentCloud

Education:Bachelor's

Skills:CommunicationLeadershipMentoringPresentationProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptLLMMulti-agentMCPRAGCloud

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

Sr. Forward Deployed AI Engineer (Remote Eligible in Germany)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Munich

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead complex 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

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 with customer relationships, security reviews, and production systems
•Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale
•System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services
•Demonstrated ability to create reusable technical assets that others use in production; think in platforms, not projects

Experience:6-10 yearsEnterprise softwareAI/MLLLMMulti-agentCloud

Education:Bachelor's

Skills:CommunicationLeadershipMentoringPresentationProblem-solving

Languages:English

Tech Stack:PythonTypeScriptJavaScriptLLMMulti-agentMCPRAGCloud

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