Senior Engineering Manager

Job Title: Senior Engineering Manager / Associate Director BRAHMA AI Core

Location: Bangalore - Hybrid

Role Overview: The Development Manager will work in a matrix setup with Product Managers, AI Leads, Platform, and QA teams, leading through influence rather than direct reporting lines.

The role calls for a technically proficient, AI-aware leader who enjoys exploring new technologies, shaping solutions, guiding execution, and participating in customer pursuits. You will help translate business needs into practical AI-enabled solutions that integrate seamlessly into PFTs platforms.

Key Responsibilities:

• Lead and guide cross-functional teams to deliver scalable AI-powered capabilities integrated into the CLEAR platform.
• Be hands-on in defining solution approaches, evaluating tools, and supporting technical execution.
• Collaborate with AI/ML, Platform, and QA teams to ensure smooth delivery, automation, and efficient CI/CD integration.
• Support customer pursuits by helping shape and present technical solutions aligned with business goals.
• Explore and evaluate emerging AI tools and frameworks to drive innovation and delivery efficiency.
• Optimize AI workloads for performance, reliability, and cost-effectiveness on cloud infrastructure (AWS / Azure).
• Encourage best practices in development, documentation, and quality assurance across teams.
• Foster collaboration and learning, ensuring alignment with business priorities and continuous improvement in delivery.

Required Experience & Skills:

• 15+ years of experience in software development, with at least 5 years in technical leadership or delivery management.

• Proven record of being hands-on in technology and guiding teams in AI/ML-driven product or platform development.
• Strong understanding of AI/ML technologies, LLMs, SLMs, frameworks (TensorFlow, PyTorch) and cloud-based ML pipelines.
• Experience with Java , Springboot, microservices, APIs, DevOps/MLOps, CI/CD, Docker, Kubernetes, Mongo DB, etc.
• Strong in Project Management, resource planning, allocation and release planning and management (experienced in Jira, Confluence, Feature Build and Release Pipelines)
• Hands on cloud knowledge in AWS, Azure or GCP
• Familiarity with media workflows such as video/audio processing, speech-to-text, computer vision, or metadata enrichment.
• Excellent communication and problem-solving skills; strong ability to collaborate in a matrix organization.
• An attitude to ensure customer success at all costs.

Nice to Have:

• Experience in Media Supply Chain, Post-production, Sports, Broadcast, or OTT environments.
• Familiarity with media workflow platforms.
• Awareness of cloud cost optimization, and AI observability.
• Contributions to open-source AI/ML or media processing frameworks.

Education:

• Bachelors / Master’s degree in Computer Science, Engineering, or related field.

• Advanced degree or certifications in AI/ML, Cloud, or Data Analytics or Data Engineering preferred.