AI Platform Engineer — Agentic SDLC

Sutherland; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Sutherland is seeking an experienced engineer to extend and harden an AI-driven software development lifecycle platform built on the Kiro IDE.

You will work with autonomous agents, MCP tool integrations, steering files, and event-driven hooks to orchestrate requirements gathering, architecture design, code generation, test automation, and deployment gating—AI-first.

Qualifications

• Experience building multi-step autonomous AI agents with tool-use and guardrails.
• 4+ years production-grade TypeScript / Node.js development.
• Experience in integrating Azure OpenAI or similar LLM platforms.
• CI/CD, Docker, and release-gating automation experience.

Responsibilities

• Build RAG pipelines feeding architecture docs and Rally artifacts to LLMs.
• Implement MCP servers and tool integrations with Rally, Playwright, Git, Confluence, Azure DevOps.
• Author steering files that constrain agent behavior with formal rules.
• Build self-healing systems with bounded autonomy and escalation.
• Create event-driven hooks for CI/CD and release gating.
• Implement property-based testing to verify system correctness.
• Package and deploy agent infrastructure with Docker and pipelines.

Skills

AI Agent Systems

TypeScript / Node.js

LLM Integration

CI/CD & DevOps

RAG / Context

Agent Framework

Testing

ALM Integration

Tools

Rally

Azure DevOps

Jira

GitHub Actions

Docker

AKS

Git

Job description

Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics.
For Enterprises, these are key factors of success. For us, they're our core expertise.
We work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering - the foundation that powers rapid innovation and scalable business transformation.
We've created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as-a-service" model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. With proven strategies and agile execution, we don't just enable change - we engineer digital outcomes.
Sutherland
Digital Outcomes.

Job Description

Extend and harden an AI-driven software development lifecycle platform built on Kiro IDE. The platform uses autonomous agents, MCP tool integrations (Rally, Playwright, Git, Confluence), steering files, and event-driven hooks to orchestrate requirements gathering, architecture design, code generation, test automation, and deployment gating — all AI-first.

build new agent capabilities, design RAG pipelines for context-aware code generation, create governance guardrails, and integrate with enterprise ALM/DevOps tools. This is not a testing role or a DevOps role — it's building the platform that makes all SDLC phases AI-native.

Key Areas of Responsibilities:

• Build RAG pipelines that feed architecture docs, coding standards, and Rally artifacts as grounded context to LLMs
• Implement MCP servers and tool integrations (Rally, Playwright, Git, Confluence, Azure DevOps)
• Author steering files (persona, governance, lifecycle) that constrain agent behavior with formal rules
• Build self-healing and auto-remediation systems with bounded autonomy and human escalation
• Create event-driven hooks for CI/CD integration, nightly runs, and release gating
• Implement property-based testing to formally verify system correctness
• Package and deploy agent infrastructure (Docker, pipelines, credential management)

Qualifications

Skills Required:

Core Language

TypeScript / Node.js

AI/LLM

Azure OpenAI (GPT-4), prompt engineering, structured outputs

Agent Framework

RAG / Context

Testing

ALM Integration

Rally, Azure DevOps, Jira (bidirectional sync)

DevOps

GitHub Actions / Azure DevOps Pipelines, Docker, AKS

Frontend

Documentation

Markdown-first, Word export, Mermaid diagrams

Must-Have Skills

• AI Agent Systems — Built or extended multi-step autonomous agents with tool-use, guardrails, and human-in-the-loop patterns
• TypeScript / Node.js — Production-grade, 4+ years
• LLM Integration — Azure OpenAI or equivalent; prompt engineering, structured outputs, function calling
• CI/CD & DevOps — Pipeline authoring, Docker, scheduled automation, release gates

State Machine / Workflow Design — Lifecycle management, valid-transition enforcement, event-driven orchestration

Nice-to-Have

• MCP (Model Context Protocol) experience or similar tool-use protocols
• Rally / Azure DevOps API integration
• Property-based testing (fast-check, QuickCheck)
• Experience with Kiro, Cursor, Windsurf, or similar AI-native IDEs
• Formal verification or correctness-by-construction approaches

Additional Information

Backfill position for Nayeem Mohammed (Emp ID:700971) in GE digital under Manish Purwar