Cloud AI Engineer

7 hours ago

Bengaluru, Karnataka, India beBeeSoftware Full time US$ 1,50,000 - US$ 2,50,000
Job Overview

We are seeking a highly experienced Senior Engineering Manager to lead the design and development of our Software Platform for Cloud and AI Services. In this critical role, you will drive technical strategy, build a self-serving platform that provides services and building blocks for all Cloud and AI-powered applications across the enterprise.


Your Responsibilities
  • Lead the architecture and development of our end-to-end Cloud and AI platform engineering services.
  • Collaborate intimately with the AI Tools team to ensure seamless rollout of new AI tools and platforms, prioritizing ease of onboarding, security, and governance.
  • Work closely with engineers to deeply understand their workflows, ensuring the platform provides frictionless 'golden paths' from prototyping to deployment and hassle-free post-deployment operations.
  • Build, mentor, and grow high-performing software engineering teams, fostering a culture of technical excellence, innovation, and continuous improvement.
  • Partner closely with Product Management, SRE, and other cross-functional engineering teams to define roadmaps, gather requirements, and ensure seamless feature delivery.
  • Ensure the scalability, reliability, security, and performance of the platform across various deployment environments (e.g., cloud, on-premise).

Requirements

- An engineering degree in Computer Science or a related technical field.

- 12+ years of progressive experience in software engineering, with at least 8+ years in building Cloud Native Distributed Systems, Cloud Platform Services, AI Enabled Applications and Services.

- Deep understanding and hands-on experience with the latest AI Infrastructure Services & Platforms, including Models, Vector DBs, AI frameworks (e.g., Langchain), and Platforms (e.g., Vertex AI).

- Proven expertise in solving multiple complex use cases by building AI solutions powered by RAG, Agents, and Agentic workflows & techniques.

- Proven expertise in leading the design and development of large-scale, high-performance distributed systems & applications.

- Experience working directly with customers to understand their needs, translate requirements into technical solutions, and drive adoption of intelligent systems.

- Proficiency in relevant programming languages such as Python, Go, or similar.

- Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).

- Proven leadership, team-building, and mentoring skills, with a track record of attracting and retaining top engineering talent.

- Ability to thrive in a fast-paced, dynamic environment, balancing innovation with a strong bias for action.

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