Forward Deployment Engineer

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 GCP 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.