Associate Architect - AI

Job Title: Associate Architect - AI

• Develop and implement AI-driven enterprise architecture strategies that align with business objectives.
• Define the AI roadmap, architecture frameworks, and best practices for AI adoption across the organization.
• Collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to drive AI initiatives.
• Evaluate and recommend AI technologies, tools, and platforms to enhance enterprise capabilities.
• Ensure seamless integration of AI solutions with existing enterprise applications and infrastructure.
• Establish governance models, security protocols, and compliance frameworks for AI implementations.
• Provide technical leadership in AI model deployment, performance optimization, and scalability.
• Stay updated on emerging AI trends, industry advancements, and regulatory requirements.
• Guide teams in developing AI-powered products, automation solutions, and intelligent workflows.
• Lead AI-driven digital transformation initiatives across multiple business units.

Qualifications & Skills:

• Bachelors/Masters degree in Computer Science, AI, Data Science, or a related field.
• 6 to 10 years of experience in enterprise architecture, AI solution design, or a related role.
• Deep expertise in AI/ML frameworks, cloud computing (AWS, Azure, GCP).
• Strong understanding of AI governance, model life cycle management, and responsible AI practices.
• Experience in micro services architecture, APIs, and enterprise integration patterns.
• Hands-on experience with AI-driven automation, NLP, computer vision, or predictive analytics.
• Strong knowledge of DevOps, MLOps, and CI/CD pipelines for AI deployment.
• Excellent problem-solving, communication, and stakeholder management skills.
• TOGAF, AWS/Azure AI certifications, or other relevant credentials are a plus.

Preferred Skills:

• Experience in designing AI solutions for enterprise-scale applications.
• Strong analytical skills with a data-driven approach to decision-making.
• Knowledge of AI ethics, bias mitigation, and regulatory compliance in AI systems.