Associate AI Architect

Role Overview: As an Associate Architect - AI at Veritis, you will be responsible for designing and overseeing the implementation of AI-driven enterprise solutions. Your deep expertise in AI technologies, cloud architecture, and system integration will ensure that AI initiatives align with business goals and deliver maximum impact. Key Responsibilities: - Develop and implement AI-driven enterprise architecture strategies that align with business objectives. - Define AI roadmap, architecture frameworks, and best practices for AI adoption. - Collaborate with cross-functional teams to drive AI initiatives and recommend AI technologies/tools. - 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: - Bachelor's/Master's degree in Computer Science, AI, Data Science, or a related field. - 6 to 8 years of experience in enterprise architecture, AI solution design, or related roles. - Deep expertise in AI/ML frameworks, cloud computing (AWS, Azure, GCP). - Strong understanding of AI governance, model lifecycle management, and responsible AI practices. - Experience in microservices 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.,