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

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

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.

·        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

·        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)

·        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

·        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

·        Strong leadership and mentoring capabilities

·        Strategic thinking and decision-making

·        Excellent communication and stakeholder management

·        Ownership and accountability mindset

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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