Chief Technology Officer - AI/ML

Weekday AI; Thane; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Weekday AI in Maharashtra, Thane, seeks an accomplished Head of Engineering to lead large-scale product engineering and cloud-native development. You will shape technical strategy, mentor a broad engineering organization, and collaborate with enterprise clients to deliver scalable AI-enabled solutions.

The role requires hands-on leadership, deep software architecture expertise, and a track record of delivering AI/ML and Generative AI in production environments.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, Information Technology or related discipline.
• 11+ years of experience in core technology, software engineering, or product engineering with leadership exposure.
• Hands-on background in software architecture, distributed systems, cloud-native development.
• Practical experience implementing AI/ML and Generative AI in production environments.

Responsibilities

• Provide technical vision and strategic direction for application development and product engineering initiatives.
• Lead and mentor a large-scale engineering organization across multiple products and technology teams.
• Partner with architecture leadership to translate enterprise strategies into scalable, secure solutions.
• Drive AI/ML and Generative AI capabilities across products and business solutions.
• Establish engineering standards, governance, quality frameworks, and best practices.
• Oversee development of cloud-native, scalable, resilient applications.
• Work with product, engineering, QA, DevOps and leadership to deliver strategic tech initiatives.
• Act as trusted advisor to enterprise clients and senior technology stakeholders.
• Own delivery governance for large-scale programs and ensure high-quality outcomes.
• Drive Agile/Scrum, CI/CD adoption, engineering automation, and continuous improvement.

Skills

Tech leadership

Cloud-native

AI/ML in prod

Distributed systems

Agile/Scrum

Education

Bachelor's/Master's in CS/Engineering

Tools

Kubernetes

CI/CD pipelines

Cloud platforms

Job description

Experience: 11+ yrs

Job Type: Full-time

We are seeking an accomplished Head of Engineering to provide strategic technical leadership, drive engineering excellence, and oversee large-scale application development and product engineering initiatives. This is a senior leadership role for a hands-on technology leader with strong expertise in building scalable software products, modern cloud-native architectures, and AI-enabled solutions.

The role will involve leading a large engineering organization, translating business and architectural objectives into execution, and ensuring high standards across technology, delivery, quality, and innovation. You will also work directly with enterprise clients and senior technology stakeholders to understand complex business challenges and shape effective technical solutions.

The ideal candidate combines deep engineering expertise with strong organizational leadership, client-facing capability, and practical experience implementing AI/ML and Generative AI technologies in production environments.

• Provide technical vision and strategic direction for application development and product engineering initiatives.
• Lead and mentor a large-scale engineering organization across multiple products, platforms, and technology teams.
• Partner with architecture leadership to translate enterprise architecture strategies into scalable, secure, and high-performance solutions.
• Drive the adoption and production implementation of AI/ML and Generative AI capabilities across products and business solutions.
• Establish engineering standards, coding practices, architecture guidelines, quality frameworks, and technical governance.
• Oversee the development of modern, cloud-native, scalable, and resilient applications.
• Work closely with product, engineering, architecture, QA, DevOps, and business leadership to deliver strategic technology initiatives.
• Act as a trusted technical advisor to enterprise and international clients, including CTOs and senior technology decision-makers.
• Own delivery governance across large-scale engineering programs, ensuring predictable and high-quality outcomes.
• Drive Agile/Scrum practices, CI/CD adoption, engineering automation, and continuous improvement.
• Proactively identify architectural risks, performance bottlenecks, technical debt, and delivery challenges.
• Establish effective risk mitigation and remediation strategies before issues impact customers or business outcomes.
• Support talent strategy, organizational scaling, succession planning, mentoring, and development of senior technical leaders.
• Represent engineering leadership in strategic client discussions, executive reviews, and technology planning sessions.

11+ years of experience in Core Technology, Application Development, Software Engineering, or Product Engineering, with significant experience in engineering leadership.

Proven experience managing and scaling large engineering organizations across multiple products or technology portfolios. Strong hands-on background in software architecture, distributed systems, cloud-native application development, and modern engineering practices. Practical experience implementing AI/ML, Generative AI, LLMs, or intelligent automation in production environments. Strong understanding of software development lifecycle, Agile methodologies, DevOps, CI/CD, scalability, security, and engineering quality. Experience managing complex technical programs, delivery expectations, escalations, and multi-team engineering initiatives. Experience working with global delivery models and distributed teams. Willingness to travel internationally when required for client and business engagements. Strong understanding of enterprise technology trends, cloud platforms, AI, and modern product engineering practices. Experience in EdTech, workforce technology, SaaS, or enterprise product development will be an advantage. Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline preferred.