Forward Deployed Engineer

Role: FDE
Location: San Jose, CA or Bridgewater, NJ

Application Development & Integration
• Full-stack software engineering expertise across Java, Python, .NET,
JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies.
• Deep experience in API development, Microservices, Event-Driven Architectures,
Enterprise Integration, and Distributed Systems design.

Cloud, Platform Engineering & Infrastructure

• Expertise in Azure, AWS, and Google Cloud Platform with strong knowledge of multi-cloud, cloud-
native, serverless, containerized, and Kubernetes-based architectures.

• Experience building highly scalable, resilient, and enterprise-grade platforms using
modern infrastructure and platform engineering practices.

DevSecOps, MLOps & Automation
• Advanced knowledge of CI/CD, GitOps, MLOps, Infrastructure as Code (Terraform,
Ansible), observability, monitoring, and automated deployment pipelines.
• Strong understanding of Secure SDLC, release engineering, operational excellence,
and platform automation.

AI, Generative AI & Machine Learning
• Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI
solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama,
Mistral, HuggingFace, and emerging AI platforms.

• Hands-on experience with AI orchestration and agent frameworks
including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI,
and AutoGen.
• Strong knowledge of Prompt Engineering, RAG, Vector Databases
(Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning, LLMOps,
and Secure AI practices.

Enterprise Architecture & Security
• Proficiency in enterprise architecture frameworks (TOGAF, Zachman), cloud-native
design patterns, integration architectures, and technology modernization initiatives.
• Familiarity with Zero Trust security, IAM, encryption, compliance frameworks,
cybersecurity best practices, and secure AI implementations.

Innovation & Technology Leadership
• Proven ability to evaluate, prototype, and operationalize emerging technologies,
translating innovation into scalable business solutions and measurable outcomes.
• Experience leading Proof of Concepts (PoCs), accelerator programs, modernization
initiatives, and AI transformation efforts.

Data Engineering & Analytics
• Strong command of data platforms, ETL/ELT pipelines, data lakes, real-time
streaming, analytics solutions, and data-driven application architectures.
• Experience enabling AI and business intelligence solutions through modern data
engineering practices.