Forward Deployed Engineer
Forward Deployed Engineers embed with enterprise customers to architect and operationalize production AI systems that solve domain-specific business problems. Unlike traditional software engineers, they own the full lifecycle from discovery and system design through scaling and optimization, working directly alongside customer teams to translate complex requirements into deployed solutions. These roles typically sit within customer success, professional services, or partnerships teams at AI platform companies, bridging the gap between core product capabilities and real-world customer needs while feeding field insights back to drive product evolution.
Skills
What companies are looking for in this role.
Designing and implementing end-to-end AI/ML systems from conception through production deployment
Building and deploying generative AI applications including retrieval-augmented generation, fine-tuning, and agentic systems
Writing production-grade code across multiple programming languages and full-stack development
Architecting scalable, secure, and reliable systems aligned with customer requirements and business objectives
Owning delivery end-to-end from discovery and scoping through production rollout and ongoing operation
Troubleshooting and debugging complex technical issues across infrastructure, software, and systems layers
Operating and managing containerized workloads and cluster orchestration in production environments
Optimizing system performance, latency, and cost through profiling, benchmarking, and tuning techniques
Building high-performance distributed systems and infrastructure for large-scale workloads
Integrating AI/ML systems with existing enterprise applications and technical stacks
Evaluating and selecting appropriate tools, frameworks, and methodologies for specific technical challenges
Implementing monitoring, observability, and alerting solutions to track system health and performance
Designing and executing rigorous testing and validation strategies to ensure system stability and reliability
Rapidly prototyping solutions and iterating based on customer feedback and evaluation results
Troubleshooting distributed systems issues including network, storage, and compute bottlenecks
Developing custom integrations and APIs to connect disparate systems and platforms
Proactively identifying and resolving production issues before customer impact occurs
Applying machine learning techniques to solve domain-specific engineering and physics problems
Contributing to open-source projects and internal codebases to improve platform capabilities
Collaborating directly with customers to understand technical requirements and translate business problems into engineering solutions
Serving as primary technical point of contact and trusted advisor to strategic customers across multiple domains
Leading technical discussions with diverse stakeholders from individual contributors to executives
Gathering customer feedback and translating insights into product roadmap improvements
Working in ambiguous, fast-moving environments with ability to scope work, sequence delivery, and manage trade-offs
Documenting complex systems, creating reference architectures, and building reusable playbooks and accelerators
Mentoring and providing technical guidance to engineering teams and peer developers
Training and enabling customer teams to effectively adopt and use AI solutions in their workflows
Managing cross-functional dependencies and coordinating technical initiatives across multiple teams
Technology
The tools and technologies that define this role.
Open Jobs
166 open Forward Deployed Engineer jobs across 42 companies.
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