Artificial Intelligence Architect – Senior​/Lead

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures

• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments

• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI

• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases

• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies

• Balances hands-on AI model development with cross-functional coordination

• 5+ years of experience Data Engineering and/or Software Development
• 5+ years of experience with Artificial Intelligence (AI) hardware and software integration
• 5+ years of enterprise architecture experience
• 5+ years of experience developing information architectures and working with databases
• 5+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure
• 3+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies
• 3+ years of experience with modern programming and scripting languages such as C++, Java, JavaScript, Perl, Python, Visual Basic
• 3+ years of experience researching and applying large language and generative AI models
• 10+ years of related work experience or an equivalent combination of education and experience

Demonstrates expertise in designing and implementing end-to-end Artificial Intelligence solutions, including model training, deployment, and lifecycle management. Proficient in evaluating AI technologies and leading enterprise-wide AI initiatives aligned with business objectives.

• Artificial Intelligence (AI) Solutions Design
• Machine Learning (ML) Technologies
• Cloud Platforms (AWS, Google Cloud Platform, Azure)
• Data Engineering and Software Development
• Enterprise Architecture

• Data Engineering
• Software Development
• Artificial Intelligence (AI) Integration
• Machine Learning (ML)
• Large Language Models (LLM)
• Generative AI
• Deep Learning
• Natural Language Processing (NLP)
• Programming Languages (C++, Java, JavaScript, Perl, Python, Visual Basic)
• Information Architecture

• AI Strategy
• AI Architecture
• Model Training
• Deployment
• Monitoring
• Lifecycle Management
• Proof of Concepts (PoCs)
• Workflow Orchestration
• Emerging AI/ML Technologies
• Cross-Functional Coordination