Chief Technology Officer (CTO) - Artificial Intelligence (Maharashtra)

Global Sports Entertainment and media; India; On-site; INR 3,000,000 - 7,500,000; Full time

Job summary

Global Sports Entertainment and media is seeking a senior technology leader to define and drive the AI strategy, roadmap, and architecture across platforms. You will lead AI teams, ML, NLP initiatives, and scale enterprise SaaS solutions while ensuring security and reliable delivery.

You will collaborate with founders and business teams to accelerate innovation in Generative AI, LLMs, RAG, and AI agents, building resilient cloud infrastructure and strong engineering practices.

Qualifications

• 10-15 years in software engineering with at least 5 years in senior technology leadership.
• Robust expertise in AI/ML, cloud architecture, microservices, DevOps, vector databases, enterprise SaaS, team leadership, and product scaling.
• Experience with content technology & infrastructure preferred.

Responsibilities

• Lead technology strategy, AI roadmap, engineering, product architecture, AI teams, cloud infrastructure, MLOps, security, and delivery of AI products.
• Drive innovation in Generative AI, LLMs, RAG, AI Agents, ML, NLP, and enterprise SaaS platforms.
• Collaborate with founders and business teams to scale technology and engineering excellence.

Skills

AI/ML leadership

Cloud architecture

Microservices

DevOps

Vector databases

Enterprise SaaS

Team leadership

Product scaling

Generative AI

Education

Bachelor's/Master's in CS/AI/ML

Job description

Job Description / Responsibilities

• Lead technology strategy, AI roadmap, engineering, product architecture, AI teams, cloud infrastructure, MLOps, security, and delivery of AI products.
• Drive innovation in Generative AI, LLMs, RAG, AI Agents, ML, NLP, and enterprise SaaS platforms.
• Collaborate with founders and business teams to scale technology and engineering excellence.

Desired profile of the candidate

• 10-15 years in software engineering with at least 5 years in senior technology leadership.
• Robust expertise in AI/ML, cloud architecture, microservices, DevOps, vector databases, enterprise SaaS, team leadership, and product scaling.
• Experience with content technology & infrastructure preferred.

Education qualification

• Bachelor's/Master's in Computer Science, AI, Machine Learning or related field. .