AI Forward Deployed Engineer (fde) Consultant

This role focuses on translating business and cybersecurity needs into technical solutions, specifically deploying AI/GenAI-enabled capabilities for clients. The engineer will work on building and deploying GenAI/LLM-powered solutions using platforms like Anthropic, Google, or OpenAI, and support end-to-end technical delivery.

What you'd actually do

  1. Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  2. Identify, troubleshoot, and resolve technical issues within scope
  3. Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  4. Contribute to solution design, ensuring alignment between client needs and delivery feasibility.
  5. Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Skills

Required

  • full stack development
  • JavaScript/TypeScript
  • HTML5
  • CSS3
  • React, Angular, or Next.js
  • Node.js, Python (Django/Flask), or Java (Spring Boot)
  • PostgreSQL, MySQL
  • MongoDB, Redis
  • REST APIs
  • microservices
  • serverless architectures
  • AWS, Azure, or GCP
  • Docker
  • CI/CD pipelines
  • Git, Azure DevOps
  • building and deploying GenAI/LLM-powered solutions
  • Anthropic, Google or Open AI platforms
  • Claude API, Gemini API, Vertex AI Agent Builder, GPT-4o, Assistants API
  • AI system architectures
  • own defined scope end-to-end
  • translate requirements into technical solutions
  • articulate technical concepts, risks, and trade-offs
  • accountability and ownership mindset

Nice to have

  • cybersecurity concepts
  • application security
  • cloud security
  • identity
  • detection engineering
  • DevSecOps practices
  • secure software development lifecycle
  • Elasticsearch/OpenSearch
  • Neo4j
  • Kubernetes
  • GitOps
  • advanced cloud-native patterns
  • Cloud certifications
  • TensorFlow, PyTorch

What the JD emphasized

  • AI/GenAI-enabled capabilities
  • building and deploying GenAI/LLM-powered solutions
  • hands on experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK

Other signals

  • deploying AI/GenAI-enabled capabilities
  • building and deploying GenAI/LLM-powered solutions
  • hands on experience with key platforms/products; Claude API, Gemini API, Vertex AI Agent Builder, GPT-4o, Assistants API