The Opportunity: We are seeking an AI Architect to join the enterprise platform engineering team supporting a large-scale internal developer ecosystem for a customer. This role focuses on building intelligent, agent-driven capabilities across developer platforms that improve engineering productivity, software delivery, and enterprise API usage.

The ideal candidate works on next-generation platform capabilities used across engineering teams of the customer, building AI-native features that enhance how developers design, build, and deploy software at scale.

• Role: AI Architect (Enterprise Platforms)
• Experience: 10+ Years
• Work Location: Sunrise, FL
• Project Duration: 12+ Months Contract

Key Responsibilities

• Design and build AI-powered applications and agent-based systems within enterprise developer platforms for the Customer.
• Develop generative AI solutions using LLMs, orchestration frameworks, and retrieval-augmented generation (RAG) architectures.
• Build production-grade AI systems integrating machine learning models, APIs, and backend services into scalable applications.
• Create AI-driven developer productivity tools such as coding assistants, workflow automation, and intelligent recommendations.
• Ensure AI systems meet enterprise standards for reliability, scalability, observability, and compliance requirements of the Customer.
• Implement agentic workflows using frameworks such as LangGraph and MCP-style integrations.
• Design and optimize RAG pipelines for enterprise knowledge retrieval and contextual intelligence.
• Integrate AI features into internal developer platforms, APIs, and tooling ecosystems of the Customer.
• Build CI/CD pipelines for AI model deployment, versioning, and lifecycle management.
• Deploy containerized AI services using modern cloud-native engineering practices.
• Improve model performance through prompt engineering, evaluation frameworks, and iterative tuning.
• Collaborate with cross-functional engineering teams within the Customer organization to deliver AI capabilities.
• Document system architecture, AI workflows, and integration patterns for enterprise adoption.

Required Qualifications

• 7+ years of Software Architect experience with strong expertise in JavaScript/TypeScript and React.
• Hands-on experience building and deploying generative AI or LLM-based production systems.
• Strong understanding of prompt engineering and LLM orchestration techniques.
• Experience with agentic AI frameworks such as LangGraph or similar workflow-based systems.
• Practical knowledge of RAG architectures and vector-based search systems.
• Experience integrating APIs and building end-to-end AI-enabled applications.
• Strong experience with CI/CD pipelines and DevOps practices.
• Hands-on experience with containerization (e.g., Docker) and cloud-native deployments.
• Strong system design and scalable software architecture skills.
• Ability to troubleshoot distributed systems and optimize AI pipeline performance.
• Strong collaboration and communication skills across engineering and platform teams.

Preferred Qualifications

• Experience building AI copilots or internal developer productivity tools.
• Familiarity with enterprise API platforms and developer ecosystems.
• Exposure to AI observability, monitoring, and evaluation frameworks.
• Understanding of distributed systems and cloud architecture.
• Experience in large-scale enterprise engineering environments.
• Knowledge of responsible AI practices and secure AI deployment.
• Familiarity with embeddings, vector databases, and semantic search systems.

What We Are Looking For

• Strong Software Architect passionate about building AI-driven systems.
• Experience delivering production-grade generative AI solutions at scale.
• Ability to balance innovation with enterprise-grade reliability requirements.
• Strong analytical and problem-solving skills in complex systems.
• Collaborative mindset working across platform and engineering teams.
• Focus on improving developer productivity through AI automation and agents.
• Commitment to continuous learning and responsible use of emerging AI technologies.