Forward Deployed Engineer
Forward Deployed Engineers embed directly with enterprise customers to architect, build, and deploy production AI systems—from RAG pipelines and multi-agent workflows to fine-tuned models and generative applications. They translate ambiguous business problems into well-scoped technical solutions, own end-to-end delivery across the full product lifecycle, and serve as trusted technical advisors who shape both customer success and internal product direction. These roles sit at the intersection of customer needs and engineering excellence, typically within specialized services or customer-facing AI teams that work cross-functionally with product and research to turn field learnings into scalable patterns and platform improvements.
Skills
What companies are looking for in this role.
Building production-grade software with emphasis on code quality, testability, and observability
Troubleshooting complex system integration issues and debugging end-to-end technical problems
Orchestrating production deployment of applications in private cloud, hybrid cloud, and on-premises environments
Developing and shipping full-stack applications spanning frontend, backend, and infrastructure components
Operating and troubleshooting production Kubernetes clusters in diverse deployment scenarios
Architecting scalable onboarding processes and standardized deployment patterns
Designing and architecting cloud infrastructure for hosting distributed services and custom integrations
Designing and implementing human-in-the-loop workflows and feedback mechanisms for continuous improvement
Building and managing continuous integration and continuous deployment pipelines and automation workflows
Deploying and managing container orchestration platforms for diverse workloads
Building data connectors and extract-transform-load pipelines for data ingestion and preparation
Implementing infrastructure as code practices to standardize and provision service environments
Implementing monitoring, observability, and logging solutions for system performance visibility
Diagnosing and resolving network connectivity, signaling, and communication protocol issues
Building retrieval-augmented generation pipelines and multi-agent systems
Developing and deploying production-grade artificial intelligence agents tailored to specific use cases
Designing enterprise-grade agent architectures with planning, reasoning, and action capabilities across tools and data sources
Integrating artificial intelligence systems with external systems, APIs, and enterprise infrastructure
Implementing evaluation frameworks and measuring artificial intelligence agent performance
Optimizing and fine-tuning machine learning models for production deployment
Designing and implementing robust evaluation methodologies for non-deterministic AI systems
Designing prompt engineering strategies and optimization techniques for language models
Building integrations and reference implementations across the AI agent technology stack
Applying post-training, supervised fine-tuning, and harness engineering techniques for model optimization
Designing and implementing custom user interfaces and conversational experiences for agent systems
Collaborating directly with enterprise customers to understand technical requirements and constraints
Translating ambiguous business requirements into well-defined technical specifications and success criteria
Communicating technical concepts to both technical and non-technical audiences
Executing at high velocity in fast-paced, ambiguous environments with shifting priorities
Serving as primary technical liaison and trusted advisor between platform vendors and customer teams
Owning end-to-end technical projects from scoping through design, implementation, and production deployment
Managing complex technical projects with multiple interdependent work streams and stakeholders
Leading high-stakes customer deployments and go-live activities under pressure
Balancing multiple stakeholder needs and managing competing priorities in customer-facing environments
Embedded customer engagement and co-delivery across extended project lifecycles
Translating domain-specific customer workflows into reusable technical patterns and frameworks
Navigating complex enterprise security, compliance, and regulatory requirements in production deployments
Partnering with enterprise infrastructure and IT teams to assess requirements and implement solutions
Identifying and implementing process improvements based on real-world customer feedback and deployment experience
Building and scaling forward-deployed engineering teams with emphasis on technical excellence and customer impact
Applying advanced domain knowledge across multiple engineering disciplines and industries
Technology
The tools and technologies that define this role.
Open Jobs
256 open Forward Deployed Engineer jobs across 50 companies.
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