AI Cloud Architect

MacroHire; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

MacroHire seeks a highly experienced AI + Cloud Stack Architect to design and build next-generation intelligent cloud platforms. The role blends Cloud Architecture, Distributed Systems, Product Engineering, and AI to drive enterprise-scale products and automation across cloud-native ecosystems.

You will architect, implement, and optimize cloud platforms, leveraging Kubernetes, microservices, and event-driven designs while integrating Generative AI, LLMs, and AI tooling to boost productivity,

Qualifications

• 15+ years of overall experience with at least 5+ years in Cloud Architecture roles.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and hybrid environments.
• Deep knowledge of Kubernetes, microservices, and distributed systems.
• Expertise in AI/ML, NLP, computer vision, and GenAI/LLMs.
• Strong Python programming; capable of translating AI concepts into products.

Responsibilities

• Architect, design, and own scalable, secure cloud-native platforms.
• Lead platform integration strategies across public, private, and hybrid clouds.
• Drive roadmaps, governance, and enterprise-grade platform patterns.
• Mentor teams in cloud-native engineering and AI adoption.
• Ensure performance, reliability, and cost optimization objectives.

Skills

Cloud Architecture

Distributed Systems

Kubernetes

Microservices

AI/ML Algorithms

Generative AI / LLMs

Python

Observability

Cost Optimization

Tools

TensorFlow

PyTorch

Scikit-learn

Elasticsearch

Job description

We are looking for a highly experienced AI + Cloud Stack Architect to design and build next-generation intelligent cloud platforms by combining expertise in Cloud Architecture, Distributed Systems, Product Engineering, and Artificial Intelligence. The ideal candidate will drive the integration of AI, Generative AI, Agentic AI, and Large Language Models (LLMs) into cloud platforms to enhance engineering productivity, observability, automation, and customer experience. This is a hands-on Individual Contributor (IC) role responsible for translating AI concepts into enterprise-scale products and driving innovation across cloud-native ecosystems

• Architect and design scalable, secure, and high-performance cloud-native platforms and infrastructure solutions.
• Build and optimize cloud stack architectures across public, private, and hybrid cloud environments.
• Design distributed systems leveraging Kubernetes, microservices, and event-driven architectures.
• Drive architectural decisions, technical roadmaps, and platform integration strategies.
• Ensure solutions meet scalability, reliability, performance, and cost optimization objective.

AI, GenAI & Agentic AI Integration-

• Design and integrate AI/ML-powered capabilities into cloud platforms and infrastructure products.
• Build AI-powered tools to improve engineering productivity, operations, observability, support, and customer experience.
• Leverage Generative AI, Agentic AI, and LLMs to automate workflows, troubleshooting, capacity planning, root cause analysis, and intelligent operations.
• Develop enterprise AI solutions from requirement gathering and prototyping through productization and large-scale deployment.
• Apply AI/ML, NLP, Deep Learning, and Computer Vision techniques to solve complex infrastructure and cloud engineering challenges.

Product Engineering & Innovation-

• Collaborate with Product, R&D, Engineering, and Architecture teams to identify AI-driven opportunities that enhance product capabilities and operational efficiency.
• Develop reusable architecture patterns, governance frameworks, and integration standards.
• Design intelligent automation frameworks for cloud operations and platform management.
• Mentor teams on architecture best practices, cloud-native engineering, and AI adoption strategies.
• Align technology initiatives with business objectives, growth strategies, and customer needs.

Mandatory Skills-

• 15+ years of overall experience with at least 5+ years in Cloud Architecture roles.
• Strong background in Product Engineering, System Design, and Enterprise Architecture.
• Hands-on experience with Cloud Platforms (AWS, Azure, GCP) and hybrid cloud environments.
• Expertise in Kubernetes, containerization, microservices, and distributed systems.
• Strong knowledge of Elasticsearch, observability platforms, and cloud-native technologies.
• Strong expertise in AI/ML algorithms, Deep Learning, NLP, and Computer Vision.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and related ecosystems.
• Experience designing and implementing Generative AI, Agentic AI, and LLM-powered solutions.
• Strong programming skills in Python and experience debugging distributed and system-level environments.
• Deep understanding of software development methodologies, cloud-native architectures, and enterprise integration patterns.
• Excellent analytical, problem-solving, and performance optimization skills.