Chief Technology Officer - AI/ML

Socnet Technologies Private Limited; Pune District; On-site; INR 8,000,000 - 12,000,000; Full time

Job summary

Socnet Technologies Private Limited is seeking an experienced Chief Technology Officer to lead technology vision and execution, focusing on scalable, AI-powered platforms and exceptional customer experiences.

The role covers technology strategy across Engineering, Product, and Data, with emphasis on AI/ML, cloud technologies, and distributed systems. You will build high-performing teams, establish engineering practices, and translate business strategy into scalable technical solutions.

Qualifications

• 15+ years of experience in software engineering and technology leadership.
• Proven track record as CTO/VP Engineering or equivalent.
• Strong background in AI, ML, cloud computing, and distributed systems.
• Experience building and scaling large transactional platforms.
• Ability to translate business strategy into scalable tech solutions.

Responsibilities

• Define and execute the long-term technology vision aligned with business goals.
• Lead AI/Data strategy and adoption across products and operations.
• Oversee architecture decisions: cloud, microservices, APIs, data platforms.
• Build high-performing teams and foster engineering excellence.
• Ensure system availability, security, and performance.

Skills

Tech leadership

AI/ML

Cloud architecture

Microservices

Distributed systems

Security

Roadmap planning

Education

Bachelor/Master in CS/Engineering

Job description

We are seeking an experienced Chief Technology Officer (CTO) to lead our technology vision and execution while driving innovation across Engineering, Product, and Data. This is a strategic leadership role focused on building scalable, AI-powered platforms that support business growth, operational excellence, and exceptional customer experiences.

The ideal candidate is a technology leader with deep expertise in modern software architecture, artificial intelligence, cloud technologies, and distributed systems. You will work closely with executive leadership to translate business strategy into scalable technology solutions, build high-performing teams, and establish a culture of engineering excellence.

Technology Strategy & Leadership

• Define and execute the organization's long-term technology vision aligned with business objectives.
• Drive technology innovation across Engineering, Product, Data, and AI initiatives.
• Evaluate emerging technologies and identify opportunities to improve products, platforms, and operational efficiency.
• Establish technology roadmaps that support rapid business growth and long-term scalability.
• Foster a culture of technical excellence, ownership, innovation, and continuous improvement.
• Define engineering best practices, development processes, architecture standards, and quality benchmarks.
• Oversee software delivery, platform reliability, security, and performance.
• Lead architecture decisions involving cloud infrastructure, distributed systems, microservices, APIs, and data platforms.
• Ensure high availability, scalability, security, and resilience across technology systems.

AI & Data Strategy

• Lead the adoption of Artificial Intelligence and Machine Learning technologies across products and business operations.
• Build AI-driven solutions that enhance automation, analytics, and customer experiences.
• Collaborate with Product and Data teams to develop intelligent, data-driven platforms.
• Promote responsible AI practices, governance, and scalable data architecture.
• Partner closely with business stakeholders to translate strategic goals into technology initiatives.
• Support product innovation through scalable technical solutions and customer-centric development.
• Provide executive leadership on technology investments, risk management, and innovation.

15+ years of experience in software engineering and technology leadership.

Prior experience as a CTO, VP Engineering, Head of Engineering, Head of Platform, or similar executive technology leadership role.Proven experience building and scaling large transactional platforms.Strong background in Artificial Intelligence, Machine Learning, Cloud Computing, and Distributed Systems.Demonstrated success leading large engineering organizations and building high-performing technical teams.Experience translating business strategy into scalable technology solutions.Strong architectural expertise in cloud-native platforms, microservices, APIs, and modern software engineering practices.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience in B2B, Marketplace, FinTech, Commerce, or Supply Chain technology environments.

Strong startup experience with proven success scaling technology teams and products through rapid growth.

Experience leading Product, Engineering, and Data organizations simultaneously.

Familiarity with AI-first product development and modern cloud ecosystems.

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Software Engineering Leadership
• Cloud Technologies
• Startup Experience
• B2B Platforms
• Supply Chain Technology
• Data Platforms
• Cloud Architecture