Description :

Location : Bangalore, India

Experience : 10 - 12 Years (Total), with 2 years in Engineering Management

About the Role :

We are seeking a visionary Engineering Manager to lead our Data Platform & AI team. In this leadership role, you will be responsible for the architectural vision, development, and scaling of our core data infrastructure and AI integration layers. You will mentor a high-performing team of engineers to build robust data pipelines and scalable AI platforms that empower data-driven decision-making across the organization.

Key Responsibilities :

- Leadership & Mentorship : Lead, mentor, and grow a team of Data and AI engineers, fostering a culture of technical excellence and continuous learning.
- Platform Strategy : Define the roadmap for a unified Data & AI platform, ensuring it supports high-volume data processing and seamless model deployment.
- Architectural Oversight : Oversee the design of scalable ETL/ELT pipelines, data lakes, and feature stores to support both analytical and generative AI workloads.
- AI/ML Operations (MLOps) : Drive the implementation of MLOps practices to automate the training, deployment, and monitoring of AI models at scale.
- Stakeholder Collaboration : Partner with Product Managers, Data Scientists,



and Executives to align technical initiatives with overarching business goals.
- Operational Excellence : Ensure high availability, security, and compliance of the data platform while optimizing infrastructure costs.

Requirements :

- Experience : 10 years of experience in data engineering or software development, with at least 2 years in a formal people management or lead role.
- Technical Stack : Expertise in Big Data technologies (Spark, Flink, Kafka) and Cloud Data Warehouses (Snowflake, BigQuery, or Redshift).
- AI Proficiency : Deep understanding of AI infrastructure, including experience with LLM orchestration (LangChain/LlamaIndex) and vector databases.
- Cloud Expertise : Proven track record of managing large-scale data platforms on AWS, Azure, or GCP.
- Management Skills : Strong experience in Agile methodologies, sprint planning, and performance management.
- Education : B.Tech/M.Tech in Computer Science or a related field from a Tier 1/2 institute.

What We Offer :

- A leadership role at the forefront of AI and Data Platform innovation.
- Competitive compensation package up to 80 LPA.
- Opportunity to shape the tech culture in a fast-paced Bangalore startup workplace.

📌 Engineering Manager - AI & Data Platform (India)
🏢 HiringBlaze
📍 India