Forward Deployed Engineer (fde) Manager

Manager for Forward Deployed Engineers (FDE) at Deloitte, focusing on leading the design, build, and deployment of cybersecurity and AI-enabled solutions for clients. The role involves technical leadership, client delivery, and supporting pursuits, with a requirement for experience in building and deploying generative AI or LLM solutions in production environments.

What you'd actually do

  1. Leading the design, build, and deployment of cybersecurity and artificial intelligence-enabled solutions aligned to client requirements and target architecture
  2. Guiding engineering teams through technical decisions, troubleshooting, code reviews, and delivery execution across client engagements
  3. Supporting pursuits through demos, proofs of concept, prototypes, solution design, effort estimates, and pricing inputs
  4. Managing delivery quality, scope, timelines, and client expectations while addressing escalations and protecting engagement outcomes
  5. Capturing reusable delivery learnings, documentation, and runbooks to strengthen delivery practices and client enablement

Skills

Required

  • 8+ years of experience in full stack development across front-end and back-end technologies
  • 1+ years of experience building and deploying generative artificial intelligence or large language model solutions in client or production environments
  • Experience with JavaScript or TypeScript, HTML5, CSS3, and at least one modern front-end framework
  • Experience with Node.js, Python, or Java for back-end development
  • Experience with relational and NoSQL databases, REST application programming interfaces, microservices, serverless architectures, and cloud platforms including Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience leading code reviews, technical solutioning, demos, proofs of concept, prototypes, effort estimates, and translation of client requirements into scalable technical solutions

Nice to have

  • Experience with cybersecurity concepts, including application security, cloud security, identity, or detection engineering
  • Experience with DevSecOps practices and secure software development life cycle
  • Experience with Elasticsearch, OpenSearch, or Neo4j
  • Experience with Kubernetes, GitOps, or cloud-native design patterns
  • Amazon Web Services, Microsoft Azure, or Google Cloud certifications
  • Exposure to TensorFlow or PyTorch

What the JD emphasized

  • 1+ years of experience building and deploying generative artificial intelligence or large language model solutions in client or production environments

Other signals

  • client delivery
  • engineering execution
  • AI-enabled solutions
  • generative AI
  • LLM solutions