Senior/Principal AI Architect

Responsibilities

• Develop Business Case
• Data Discovery
• Model Selection
• Model Training and Testing
• Model Deployment
• Continuous Monitoring

Qualifications

• Bachelor's Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience.
• Deep expertise in cloud architecture, data platforms, ML/AI systems, security, and governance
• Strong understanding of LLMs, embeddings, vector databases, RAG, fine-tuning, agents, tooling, observability
• Ability to design enterprise-scale architectures with high-risk data (PHI, PII)
• Leadership experience influencing CIO/CDO-level strategy
• Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI is a must.
• Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work
• Supports the development and delivery of data strategy for AI solution training, testing and deployment
• Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information
• Led evaluation, design and analysis for the implementation of an AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards.
• Develops data management strategies for AI model development, training and deployment
• Articulates the business impact of AI solutions that translate technical performance into business success metrics
• Demonstrates a good understanding of product management, agile principles and development methodologies
• Deliver presentation skills to relevant stakeholders and technical audiences
• Demonstrates a broad background implementing different architectures to meet differing needs.
• Strong written and verbal communication skills and possesses good presentation skills.
• Demonstrated ability to direct the implementation of diverse technologies in a complex organization.
• Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies.
• Experience in software development and coding in various languages (C#, python, .NET, Java etc.)