AI Architect

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).