Forward Deployed Engineer (FDE)- AWS/AZURE

Forward Deployed Engineer (FDE)- AWS/AZURE

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