Associate AI Architect

4 days ago

Hyderabad, India Veritis Group Inc Full time

Job Title: Associate Architect - AI Location: Hyderabad Job Type: Full-Time Experience: 6 to 8 Years About 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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