Infrastructure Architect (Full-Stack, AI & Platform Engineering)-3

DXC Technology Company; Bengaluru; Hybrid; INR 3,200,000 - 6,400,000; Full time

Job summary

DXC Technology is seeking an experienced Enterprise Architect to lead design and implementation of scalable enterprise platforms. The role emphasizes full-stack architecture, AI/ML systems, Python, and cloud-native architectures, with strong focus on CI/CD, scalability, and enterprise integrations.

The candidate will mentor teams, collaborate with stakeholders, and drive governance and best practices across the engineering organization, offering both in-person collaboration and flexibility.

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).

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.

Skills

Python

Full-stack

AI/ML

LLMs

Cloud platforms

DevOps

GitHub

JIRA

Docker

Kubernetes

Tools

GitHub

JIRA

Docker

Kubernetes

Job description

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.