Forward Deployed Engineer-Technical Architect 10+ years

Job Title: Technical Architect-Forward Deployed Engineer (FDE)

We are looking for a Forward Deployed Engineer to work directly with customers and engineering teams to identify high-value business problems and build, deploy, and productionize AI-powered solutions.

The FDE operates at the intersection of AI, software engineering, solution architecture, and customer problem-solving, taking solutions from initial discovery and rapid prototyping through production deployment and adoption.

Key Responsibilities

Key Responsibilities

• Work directly with customers and domain experts to understand business problems and identify high-impact AI use cases.
• Translate business requirements into practical AI/technical solutions.
• Rapidly prototype AI applications, agents, RAG systems, and workflow automations.
• Design and implement integrations with customer APIs, databases, enterprise systems, and existing applications.
• Build production-quality software using modern programming languages, APIs, cloud platforms, and AI/LLM technologies.
• Evaluate AI solutions for accuracy, reliability, latency, cost, and business impact.
• Troubleshoot real-world deployment challenges and iterate on solutions quickly.
• Collaborate with AI Architects, Product, Research, Security, and Engineering teams.
• Take ownership of deployments from discovery prototype production handoff.
• Capture learnings from customer deployments and help turn them into reusable products, patterns, and platform capabilities.

Experience

• 6-10 years of professional software engineering experience, with strong backend, full-stack, platform engineering, or solution delivery experience.
• 2+ years of hands-on experience building AI/GenAI solutions using LLMs, RAG, AI Agents, or enterprise AI platforms.
• Experience designing, deploying, and supporting production applications in enterprise environments.
• Experience working directly with customers, business users, or stakeholder-facing project teams

Skill Requirements

Required Skills

Technical

• Strong software engineering and programming fundamentals.
• Experience building production applications and integrating APIs.
• Good understanding of LLMs, prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Familiarity with cloud platforms, databases, authentication, security, and enterprise integrations.
• Ability to debug and solve complex technical problems independently.
• Understanding of AI evaluation, observability, guardrails, and production reliability.
• Hands-on experience with Azure, AWS, or GCP cloud platforms.
• Experience with Docker, Kubernetes, CI/CD, and cloud-native deployment practices.
• Knowledge of LLMOps including monitoring, evaluation, tracing, prompt/model versioning, latency optimization, and cost management.
• Experience with SQL/NoSQL databases, ETL pipelines, message queues, streaming systems, and enterprise data integration.
• Familiarity with authentication, security, governance, and enterprise integration patterns.
• Ability to debug and solve complex technical problems independently.
• Understanding of AI evaluation, observability, guardrails, and production reliability.

Problem Solving

• Ability to work with ambiguous requirements.
• Strong analytical and troubleshooting skills.
• Ability to quickly prototype and validate ideas.
• Customer and business-oriented thinking.

Collaboration

• Excellent communication and stakeholder-management skills.
• Comfortable working directly with customers and senior business/technical stakeholders.
• Ability to explain complex AI concepts in simple business terms.
• Ability to collaborate across Architecture, Engineering, Product, Research, Security, and Sales/GTM teams.

Must Have Skill

Retrieval-Augmented Generation (RAG),Generative Artificial Intelligence,LLM Application