Senior Platform Agentic AI Architect

Experience: 10–16 Years

Role Overview

We are looking for a Senior Platform Engineering & AI Enablement Lead to modernize our software delivery platform and evolve Developer Experience (DevXP) toward an AI-enabled, agentic engineering model.

The role combines CI/CD platform engineering, developer tooling, cloud-native technologies, and practical AI adoption to solve real engineering challenges such as pipeline migration, automation, code understanding, and testing enablement.

Core Mission

Enable faster, safer, and frictionless software delivery by building a standardized, scalable, and AI-enabled developer platform.

Key Responsibilities

CI/CD & Platform Modernization

Migrate legacy Jenkins pipelines to GitHub Actions.
Build reusable workflows, templates, and developer tooling to reduce fragmentation.
Establish enterprise-wide CI/CD standards and engineering best practices.
Improve visibility, monitoring, and observability across delivery pipelines.
Drive standardization and adoption across engineering teams.

AI-Assisted Engineering

Apply LLM-powered tools such as GitHub Copilot or Claude to code analysis, migration, testing, and documentation.
Develop practical AI workflows that improve developer productivity and engineering efficiency.
Implement repository-level AI context using instruction files, prompt files, and standardized documentation.
Establish human-in-the-loop validation and safeguards for AI-generated outputs.

Agent-Ready Repositories & Workflows

Define repository standards covering metadata, documentation, instructions, templates, and workflows.
Integrate AI capabilities across GitHub, CI/CD, Jira, and related engineering platforms.
Define guardrails for access control, security, peer review, validation, and responsible AI usage.
Identify and implement high-value AI/agentic use cases addressing real engineering bottlenecks.

Platform Adoption & Developer Experience

Create golden paths, starter templates, reusable workflows, and documentation.
Onboard engineering teams to standardized CI/CD and AI-enabled development practices.
Gather developer feedback and continuously improve platform usability and adoption.
Balance enterprise standardization with practical project and engineering needs.

Required Skills & Experience

CI/CD & Platform Engineering

10–16 years of experience in software engineering, DevOps, platform engineering, or developer experience.
Strong hands-on expertise in GitHub Actions and Jenkins.
Proven experience building reusable CI/CD workflows and developer tooling.
Strong programming/scripting skills in Python, Bash, TypeScript, or Go.
Experience with Docker, Kubernetes, and cloud-native delivery practices.
Strong understanding of GitHub workflows, including Pull Requests, CODEOWNERS, repository standards, and branching strategies.
Experience consolidating fragmented engineering environments and driving enterprise-wide adoption.

AI & Agentic Engineering

Hands-on experience with LLM-powered engineering tools, such as GitHub Copilot, Claude, or similar platforms.
Practical experience applying AI to code understanding, automated testing, migration, documentation, and developer productivity.
Experience managing repository-level AI context, including instruction/prompt files.
Strong understanding of AI risks such as hallucinations, security vulnerabilities, data exposure, and over-automation.
Experience designing safe, human-in-the-loop AI workflows with appropriate validation checkpoints.

Leadership Expectations

End-to-End Ownership: Own platform modernization initiatives from strategy through execution.
Bias for Action: Build and deliver tangible automation, tooling, and engineering solutions.
Pragmatism: Convert emerging AI capabilities into practical engineering workflows.
Strategic Influence: Balance enterprise standards with real-world project requirements.
Leadership by Example: Influence engineering teams through highly usable solutions, strong technical expertise, and measurable outcomes.

Ideal Candidate

A hands-on Platform/DevOps Engineering Leader who combines strong GitHub Actions, Jenkins, Kubernetes, cloud-native engineering, and developer tooling expertise with practical experience in GenAI/LLM-enabled engineering and agentic workflows.

SENIOR AGENTIC ARCHITECT - Solution Design