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

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

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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .