AI Architect

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Oversee architectural aspects across AI/ML initiatives to guarantee uniformity, efficiency, and long-term maintainability.

• Assess and choose AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tools.

• Assist development teams with model selection, training pipelines, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and evaluation techniques.

• Provide mentorship to engineers, analysts, and product teams on best practices in AI.

⛳️ Requirements

• Over 10 years of experience with enterprise-level AI programs or platform implementations.

• In-depth knowledge of data governance, privacy, security, and model risk management.

• Previous involvement in large-scale transformation initiatives.

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

• At least 5 years of experience in application development, engineering, or solution delivery roles.

• Minimum of 1 year of practical experience in AI/ML engineering, data science, or AI solution architecture.

• Extensive hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or similar generative AI ecosystems).

• Profound expertise in cloud platforms, particularly Microsoft Azure, and contemporary architectural patterns (microservices, event-driven architectures, API-first design).

• Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tools.

• Experience with MLOps/LLMOps ecosystems, including tools like MLflow, Kubernetes, LangChain, vector databases, and feature stores.

• Strong hands-on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud Foundry, Copilot Studio Agent Builder, low code/no code platforms, and generative AI tools.

• Background in RAG systems, model fine-tuning, embeddings, vector storage, and retrieval optimization.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career advancement.

• A collaborative and innovative work environment.

• Access to cutting-edge technology and resources.