AI Architect

Job Title: AI Architect

Location: Connecticut (CT) or Remote (USA)
Work Authorization: US Citizen Only

Job Overview

We are seeking an experiencedAI Architect to design, develop, and implement enterprise-grade Artificial Intelligence solutions that drive business transformation and innovation. The ideal candidate will have expertise in Generative AI, Machine Learning, Large Language Models (LLMs), cloud AI platforms, and enterprise architecture, with the ability to translate business requirements into scalable AI solutions.

Key Responsibilities

• Design and implement enterprise AI and Generative AI architectures.
• Define AI strategy, technical roadmaps, and solution blueprints.
• Build scalable AI/ML solutions using cloud-native technologies.
• Develop and integrate Large Language Model (LLM) solutions into enterprise applications.
• Design Retrieval-Augmented Generation (RAG) architectures and AI agent workflows.
• Collaborate with business stakeholders to identify AI use cases and solution opportunities.
• Lead AI solution design reviews, architecture governance, and best practices.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Ensure AI solutions meet security, compliance, scalability, and performance requirements.
• Mentor engineering teams on AI architecture, design patterns, and implementation standards.
• Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications

• Strong experience as an AI Architect or Enterprise AI Solution Architect.
• Hands-on experience with:
  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Deep Learning
• Experience designing enterprise AI platforms and scalable AI architectures.
• Strong knowledge of Retrieval-Augmented Generation (RAG) frameworks.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar.
• Strong Python programming experience.
• Experience building and consuming REST APIs.
• Strong understanding of vector databases and semantic search.
• Experience with prompt engineering and AI model optimization.
• Knowledge of AI governance, responsible AI, and security best practices.

Cloud & AI Platforms

• Microsoft Azure AI
• Azure OpenAI
• AWS AI/ML Services
• Google Cloud Vertex AI
• OpenAI APIs

Technical Skills

• Python
• SQL
• REST APIs
• Docker
• Kubernetes
• Git
• CI/CD
• Microservices Architecture

Preferred Qualifications

• Experience deploying enterprise AI solutions for large organizations.
• Knowledge of MLOps and AI lifecycle management.
• Experience with cloud-native application development.
• AI/ML-related certifications are a plus.

Soft Skills

• Excellent communication and presentation skills.
• Strong analytical and problem-solving abilities.
• Ability to work with cross-functional teams and executive stakeholders.
• Self-driven with strong leadership and mentoring capabilities.