AI Platform Engineer — Agentic SDLC

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. 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: Design and build AI agents that orchestrate multi-step SDLC workflows (fetch → generate → execute → validate → sync) Build RAG pipelines that feed architecture docs, coding standards, and Rally artifacts as grounded context to LLMs Implement MCP servers and tool integr