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Senior Forward Deployed Engineer

PParloa
Seniority
Senior
Model
Remote
Sector
AI
Salary
Undisclosed
Contract
Full-Time

About the role

As a Senior Forward Deployed Engineer at Parloa, you'll lead end-to-end deployment projects from an engineering perspective, delivering cutting-edge AI technology into complex enterprise environments. You'll build custom solutions, engineer integrations, and architect scalable deployments while working directly with enterprise customers to ensure successful AI adoption.

What you'll do

  • Own deployment engineering projects and lead technical execution in large enterprise environments
  • Design and architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
  • Engineer custom solutions, extensions, and integrations to close product gaps and meet enterprise requirements
  • Work across backend engineering, DevOps, and data engineering to ensure seamless delivery
  • Partner directly with customer engineering organizations and enterprise architects
  • Guide and mentor junior in-field engineers
  • Debug and rapidly unblock issues in mission-critical environments
  • Act as feedback loop between field deployments and core engineering teams
  • Collaborate with Deployment Strategists to ensure scalable architectures and durable customer value

What you'll need

  • 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering with direct customer impact
  • Proven track record of leading deep technical deployments in large-scale enterprise environments
  • Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases
  • Ability to operate independently in ambiguous, high-responsibility settings when deploying to enterprise systems
  • Builder's mindset with bias for action, creativity under pressure, and obsession with making things work
  • Degree in Computer Science, Engineering, or related technical field

Nice to have

  • Experience building or integrating AI/LLM-powered systems (embedding agent workflows, vector databases, prompt orchestration)

What they offer

  • Competitive compensation and equity package
  • Deutschland ticket, Urban Sports Club, Job Rad, and Nilo Health benefits
  • Flexible working hours, 28 vacation days, and workation opportunities
  • Training and development budget for continuous professional growth
  • Hybrid work options between home and beautiful Berlin or Munich offices
  • Regular team events, game nights, and weekly sponsored office lunches
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