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