Agentic AI Architect

Happiest Minds Technologies; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru seeks a Senior Platform Agentic AI Architect to lead platform modernization for faster, safer software delivery. You will drive CI/CD modernization, tooling, and AI-enabled developer workflows across teams.

The role blends platform engineering with practical GenAI/LLM-enabled development, repository context management, and human-in-the-loop safeguards to ensure high-quality outputs and scalable adoption.

Qualifications

• 12-18 years of software engineering, DevOps, or platform engineering experience.
• Strong hands-on in GitHub Actions and Jenkins.
• Proven ability to build reusable CI/CD workflows and developer tooling.
• Programming/scripting: Python, Bash, TypeScript, or Go.
• Experience with Docker, Kubernetes, and cloud-native delivery practices.
• Knowledge of GitHub workflows (PRs, CODEOWNERS, branching, etc.).
• Experience consolidating fragmented environments and driving adoption.

Responsibilities

• Migrate Jenkins pipelines to GitHub Actions and build reusable workflows.
• Establish enterprise CI/CD standards and best practices.
• Improve visibility, monitoring, and observability across pipelines.
• Apply LLM-powered tools to code analysis, migration, testing, and documentation.
• Define repository standards and integrate AI capabilities across platforms.
• Create golden paths, starter templates, and developer documentation.

Skills

GitHub Actions

Jenkins

Kubernetes

Python

Go

TypeScript

Docker

CI/CD

Tools

GitHub

Jira

CI/CD tooling

Job description

Job Title: SENIOR AGENTIC ARCHITECT - Solution Design

Location: Bengaluru

Job Description

Senior Platform Agentic AI Architect

Experience: 12-18 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

• 1016 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.