Forward Deployed Engineer (FDE)

Job Description Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices. Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery. Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets. Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls. Support brownfield semantic modeling and legacy system knowledge extraction. Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices. Capture delivery learnings and convert them into reusable best practices. Qualifications Bachelor's degree in Computer Science, Engineering, or related field 8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience Hands-on experience delivering cloud-native and enterprise applications Experience with AI-assisted development tools and modern software engineering practices Strong coding and solution architecture background Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform Preferred: AWS/Azure/GCP certifications Preferred: Experience in AI platform engineering and MLOps/LLMOps Preferred: Financial Services domain experience Technical & Soft Skills Prompt engineering and context engineering Python, Java, JavaScript, or modern cloud development stack DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc. GenAI platforms and LLM integration, MLOps / LLMOps Semantic modeling and knowledge graph concepts Coaching and mentoring experience Collaboration across cross-functional teams Strong verbal and written communication