Company Description Checkmate provides on-demand technology leadership, CTO extension, cloud optimization, AI transformation, and engineering leadership for growing companies that need senior expertise without adding another full-time executive. The organization works alongside existing CTOs and technology leaders to expand capacity for critical initiatives in areas such as cloud strategy, FinOps, DevOps, and security governance. Services cover a wide range of domains, including SaaS, software, financial services, eCommerce, healthcare, and other technology-driven businesses. Virtual CTO Services helps clients modernize architectures, reduce cloud costs, adopt AI and agentic AI, and improve engineering productivity and reliability. The focus is on enabling companies to build faster, scale smarter, and make better technology decisions. Role Description The Chief AI Officer is a full-time, in office role based in Bengaluru, responsible for defining and driving AI strategy across Virtual CTO Services and client engagements. This role leads the design and implementation of AI and agentic AI solutions, including use-case identification, architecture definition, model selection, and integration with existing systems. The Chief AI Officer collaborates with CTOs, engineering leaders, and cross-functional stakeholders to align AI initiatives with business outcomes, ensuring security, compliance, and ethical AI practices. Day-to-day responsibilities include overseeing AI roadmaps, guiding data and MLOps practices, reviewing technical designs, mentoring AI engineers,



and contributing to client-facing consulting, proposals, and executive briefings. The role also involves monitoring industry trends, evaluating new AI tools and platforms, and establishing best practices, standards, and governance frameworks for scalable AI adoption. Qualifications
• Demonstrated expertise in AI strategy, machine learning, and agentic AI, with experience leading end-to-end AI initiatives from discovery to production deployment.
• Strong background in cloud platforms (e.g., AWS, Azure, GCP), including experience with scalable architecture, cloud cost optimization, and FinOps practices for AI workloads.
• Proficiency in data engineering, MLOps, and LLMOps, including data pipelines, model lifecycle management, monitoring, and CI/CD for AI systems.
• Experience working closely with CTOs, VPs of Engineering, and technology leaders on complex technology transformations, including AI adoption and engineering productivity improvements.
• Hands-on experience with modern AI frameworks and tools (e.g., TensorFlow, PyTorch, transformer-based models, LLMs, vector databases, orchestration frameworks for AI agents).
• Strong leadership and communication skills, with the ability to translate technical concepts into clear business value and influence executive-level decisions.
• Track record in technology governance, security, and responsible AI, including risk management, compliance, and ethical considerations for data and models.
• Experience in

📌 Chief AI Officer (India)
🏢 Checkmate Management Consulting
📍 India