AI Architect

Pay Range: $DOE/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications.

Featured Benefits:

Medical Insurance in compliance with the ACA.

401(k).

Sick leave in compliance with applicable state, federal, and local laws.

Job Overview:

• We are seeking a highly skilled and innovative AI Architect to execute the AI strategy, design, and implementation of artificial intelligence solutions within our organization.
• The ideal candidate will have extensive experience in artificial intelligence, machine learning, and data science.
• This role will lead AI initiatives, define AI architecture, and collaborate across teams to develop scalable, compliant, and high-performing AI systems that align with business goals.

Key Responsibilities:

AI Strategy & Leadership

• Develop and execute an enterprise AI strategy aligned with business objectives.
• Drive AI adoption and innovation across departments, ensuring measurable impact.
• Stay ahead of AI trends, emerging technologies, and regulatory changes.

AI Architecture & Technical Design

• Define scalable AI architectures for machine learning (ML), natural language processing (NLP), Large Language Models (LLM), and other AI-driven solutions.
• Establish AI model lifecycle processes, including development, deployment, monitoring, and continuous improvement.
• Ensure AI systems are explainable, ethical, and compliant with industry regulations.

Collaboration & Stakeholder Management

• Work closely with data teams, data scientists, business leaders and relevant stakeholders to integrate AI into products and services.
• Advocate for AI literacy and best practices across the organization.
• Partner with Data and AI Council to ensure robust AI governance and data privacy compliance. 

AI Governance & Risk Management

• Define AI governance frameworks, ensuring responsible AI usage.
• Implement MLOps and AI model monitoring processes to track performance and mitigate risks.
• Guide teams in ethical AI design, fairness, bias mitigation, and regulatory adherence.
• Data Management: Oversee the collection, preprocessing, and analysis of data, ensuring high data quality and integrity.
• Documentation: Create comprehensive documentation for AI tools, processes, and systems to ensure transparency and reproducibility.

Required Qualifications:

Technical Skills & Experience

• 8+ years of experience in AI, machine learning, or data science, with at least 5 years in an AI leadership role.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. PhD is a plus.
• Strong proficiency in AI/ML frameworks, with a proven track record of delivering successful AI projects.
• Experience in cloud-based AI architectures (Azure AI)
• Expertise in MLOps, model deployment, and AI lifecycle management.
• Knowledge of AI governance, compliance, and ethical AI principles.

Leadership & Business Acumen

• Proven ability to lead AI strategy and large-scale AI projects.
• Strong stakeholder management skills with the ability to communicate AI concepts to non-technical audiences.
• Experience driving AI innovation in a business setting with measurable impact.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Project Management: Experience in managing AI projects from conception to deployment, with strong organizational and time-management skills.
• Research Skills: Ability to conduct independent research and stay updated with the latest advancements in AI and machine learning.

Preferred Qualifications:

• Experience in AI applications in Medical Device environment.
• Experience with AI ethics and ensuring compliance with relevant regulations and standards (GDPR, HIPAA, EU AI Act, etc.).
• Certifications in AI/ML or cloud platforms (Azure).