Infrastructure Architect (Full-Stack, AI & Platform Engineering)-2

Overview

Lead the design and implementation of scalable, high-performance enterprise platforms as an Infrastructure Architect focused on full-stack development, AI/ML systems, Python, and modern cloud-native architectures.

What you'll do

• Define and drive enterprise architecture strategy and roadmap.
• Design scalable, resilient, and high-performance systems.
• Architect full-stack applications, including frontend and backend.
• Lead AI/ML and Agentic AI platform architecture.
• Design and optimize RAG pipelines and data systems.
• Define system integration patterns across enterprise tools.
• Drive CI/CD, DevOps, and automation strategies.
• Ensure system scalability, sizing, and performance optimization.
• Collaborate with stakeholders for solution architecture.
• Establish best practices, standards, and governance.
• Mentor engineering teams and review technical designs.

What you'll need

• 10 to 12 years of experience.
• Minimum 8 years in an Infrastructure Architect role.
• 6+ years of software development experience.
• Minimum 5 years in an architect or senior technical leadership role.
• Strong expertise in Python and backend systems.
• Experience in full-stack development, including React or similar.
• Deep understanding of system design and distributed architecture.
• Hands-on experience with AI/ML and Agentic AI systems.
• Strong knowledge of RAG, LLMs, and vector databases.
• Experience with CI/CD pipelines and DevOps practices.
• Proficiency with GitHub and Agile tools, including JIRA.
• Experience with cloud platforms, including AWS, Azure, or GCP.
• Experience with microservices and event-driven architecture.
• Experience with API design and integration patterns.
• Experience with scalability, load balancing, and system sizing.
• Experience with containerization using Docker and orchestration using Kubernetes.
• Experience with observability, monitoring, and logging.
• Experience with security, compliance, and governance in enterprise systems.
• Strong leadership and mentoring capabilities.
• Strategic thinking and decision-making.
• Excellent communication and stakeholder management.
• Ownership and accountability mindset.

Nice to have

• Experience in enterprise platforms like ITSM or automation tools.
• Knowledge of AI governance and guardrails.
• Exposure to multi-agent orchestration frameworks.
• Cost optimization strategies for cloud and AI workloads.

Details

• Location: Bangalore, Karnataka, India.
• Work model: Hybrid, onsite, or remote.
• Department: Enterprise Architecture / Engineering.