AI Architect

Job Description:

Essential Skills

• Strong experience designing and implementing enterprise AI solutions.
• Expertise in Agentic AI and Generative AI (GenAI).
• Strong proficiency in Python for AI/ML development and automation.
• Experience with AI solution architecture and enterprise application modernization.
• Experience with code remediation and application transformation initiatives.
• Knowledge of cloud platforms and cloud adoption strategies (AWS, Azure, or GCP).
• Experience designing scalable, secure, and high-performance AI architectures.
• Strong understanding of AI/ML frameworks, LLMs, and AI integration patterns.
• Experience integrating AI solutions with enterprise applications and APIs.
• Strong knowledge of software architecture, design patterns, and microservices.
• Experience with DevOps, CI/CD, and MLOps practices.
• Strong stakeholder management, communication, leadership, and problem-solving skills.

Roles & Responsibilities

• Lead the architecture, design, and implementation of enterprise AI solutions.
• Develop and implement Agentic AI and Generative AI solutions to meet business objectives.
• Drive application modernization, code remediation, and cloud adoption initiatives.
• Define AI architecture standards, best practices, and technical roadmaps.
• Collaborate with business and technology stakeholders to translate business requirements into AI solutions.
• Design scalable, secure, and reliable AI platforms and integration architectures.
• Lead technical design reviews and provide architectural guidance to development teams.
• Oversee AI solution development, testing, deployment, and production support.
• Evaluate emerging AI technologies and recommend innovative solutions.
• Ensure AI solutions align with enterprise security, governance, and compliance standards.
• Mentor technical teams and provide strategic leadership throughout the AI solution lifecycle.
• Drive continuous improvement in AI architecture, automation, and enterprise transformation initiatives.