Associate Manager Infrastructure Architecture

Job Description:

Job Description: Infrastructure Architect (Full-Stack, AI & Platform Engineering)

Location: Hybrid / Onsite / Remote

Experience Required: 10 to 12 Years (Minimum 8 Years in Infrastructure Architect Role)

Department: Enterprise Architecture / Engineering

Role Overview

We are seeking an experienced Enterprise Architect to lead the design and implementation of scalable, high-performance enterprise platforms. The ideal candidate will have deep expertise in full-stack development, AI/ML systems, Python, and modern cloud-native architectures. This role requires strong experience in system design, scalability, CI/CD, and enterprise integrations.

Key Responsibilities

· Define and drive enterprise architecture strategy and roadmap

· Design scalable, resilient, and high-performance systems

· Architect full-stack applications (frontend + 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

Required Skills & Qualifications

· 6+ years of software development experience

· Minimum 5 years in architect or senior technical leadership role

· Strong expertise in Python and backend systems

· Experience in full-stack development (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 (JIRA)

· Experience with cloud platforms (AWS/Azure/GCP)

Architecture & Technical Expertise

· Microservices and event-driven architecture

· API design and integration patterns

· Scalability, load balancing, and system sizing

· Containerization (Docker) and orchestration (Kubernetes)

· Observability, monitoring, and logging

· Security, compliance, and governance in enterprise systems

Good 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

Leadership & Soft Skills

· Strong leadership and mentoring capabilities

· Strategic thinking and decision-making

· Excellent communication and stakeholder management

· Ownership and accountability mindset

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