Associate AI Architect

2 weeks ago

New Delhi, India Veritis Group Inc Full time

Job Title: Associate Architect - AILocation: HyderabadJob Type: Full-TimeExperience: 6 to 8 YearsAbout Us: Veritis is a pioneering [DevOps/AI/ML] company focused on delivering cutting-edge AI-driven solutions. Our mission is to leverage artificial intelligence to drive business transformation and create intelligent, scalable, and secure enterprise solutions.Job Summary: We are looking for a visionary Associate Architect - AI to design and oversee the implementation of AI-driven enterprise solutions. The ideal candidate will possess deep expertise in AI technologies, cloud architecture, and enterprise-level system integration, ensuring that our 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 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:- 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 a related role. - 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.

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