AI Platform Engineer — Agentic SDLC

Sutherland is a global digital engineering and services firm that helps enterprises accelerate innovation through AI, automation, cloud engineering and advanced analytics. With a portfolio of 363 unique inventions—250 of them AI‑driven—the company has built a strong IP base that powers large‑scale digital transformation for iconic brands across industries. Its "Digital Outcomes" model delivers end‑to‑end solutions as a seamless "as‑a‑service" offering, enabling clients to modernise operations, reinvent customer experiences and unlock new business value. The AI Platform Engineer role sits at the heart of Sutherland’s next‑generation software development lifecycle (SDLC) platform built on the Kiro IDE. This platform is AI‑first, using autonomous agents, Model Context Protocol (MCP) integrations and event‑driven hooks to automate every phase of software delivery—from requirements gathering to deployment gating. As an AI Platform Engineer you will extend and harden this platform, creating new agent capabilities, designing retrieval‑augmented generation (RAG) pipelines, and building governance guardrails that keep the system reliable, secure and compliant. **Key Responsibilities** 1. Design and implement multi‑step AI agents that orchestrate SDLC workflows (fetch → generate → execute → validate → sync). 2. Build RAG pipelines that ingest architecture documents, coding standards and Rally artifacts to provide grounded context for LLMs. 3. Develop MCP servers and integrate enterprise tools such as Rally, Playwright, Git, Confluence and Azure DevOps. 4. Author steering files (persona, governance, lifecycle) that enforce formal rules on agent behaviour. 5. Create self‑healing and auto‑remediation mechanisms with bounded autonomy and human escalation paths. 6. Design state‑machine models for artifact lifecycles (requirements → design → code → test → deploy). 7. Implement event‑driven hooks for CI/CD pipelines, nightly runs and release gating. 8. Write property‑based tests using fast‑check to formally verify system correctness. 9. Package and deploy agent infrastructure using Docker, Azure Kubernetes Service (AKS) and manage credentials securely. 10. Collaborate with product, UX and DevOps teams to deliver dashboards and reporting UI using React and TailwindCSS. **Tech Stack**: TypeScript, Node.js, Azure OpenAI (GPT‑4), Kiro IDE agents, MCP, vector‑DB embeddings, Playwright, fast‑check, Jest, Rally, Azure DevOps, Jira, GitHub Actions, Docker, AKS, React 18, TailwindCSS, shadcn/ui, Express, Prisma, PostgreSQL, Redis/Bull queues, Markdown, Mermaid. **Growth Path**: Starting as an AI Platform Engineer, you can progress to Senior Engineer, Lead AI Systems Architect, or Product Owner for AI‑native development platforms. The role offers exposure to cutting‑edge LLM integration, large‑scale cloud infrastructure and enterprise‑grade AI governance—skills that are in high demand across the tech ecosystem. **Why Join Sutherland?** The company provides a vibrant, innovation‑driven culture where engineers get to work on AI‑first products that impact Fortune‑500 clients. You will be part of a global team, enjoy flexible work‑from‑home arrangements, and receive continuous learning opportunities through internal labs, certifications and mentorship programs. The blend of deep technical challenges and business impact makes this role ideal for ambitious freshers looking to accelerate their AI engineering career.