AI Forward Deployed Engineer (fde) Senior Consultant

Senior Consultant FDE role focused on designing, building, and deploying AI/GenAI-enabled cybersecurity solutions for clients. Involves translating client needs into technical solutions, hands-on engineering with GenAI platforms, and contributing to deal shaping and product feedback.

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 (frontend and backend)
  • JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js)
  • Node.js, Python (Django/Flask), or Java (Spring Boot)
  • Relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis)
  • REST APIs, microservices, and serverless architectures
  • AWS, Azure, or GCP deployment
  • Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps)
  • Building and deploying GenAI/LLM-powered solutions
  • Experience with Anthropic, Google or Open AI platforms/products (Claude API, Gemini API, GPT-4o, etc.)
  • Understanding of AI system architectures
  • Client-facing requirement translation
  • Independent end-to-end scope ownership

Nice to have

  • Cybersecurity concepts (application security, cloud security, identity, detection engineering)
  • DevSecOps practices
  • Search/analytics platforms (Elasticsearch/OpenSearch)
  • Graph databases (Neo4j)
  • Kubernetes, GitOps, or advanced cloud-native patterns
  • Cloud certifications (AWS, Azure, GCP)
  • ML frameworks (TensorFlow, PyTorch)

What the JD emphasized

  • AI/GenAI-enabled capabilities
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of 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 solutions for clients
  • Hands-on experience with Frontier Gen AI Platforms (Anthropic, Google, OpenAI)
  • Translating business and cybersecurity needs into AI-enabled technical solutions