AI Platform Engineer — Agentic SDLC

Sutherland
Bengaluru
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsSkills: []

Design and harden an AI-driven software development lifecycle platform that uses agentic workflows to gather requirements, generate architecture and code, run validations, and sync artifacts. Build retrieval-augmented generation (RAG) pipelines for grounded context, implement MCP tool integrations (including Rally, Playwright, Git, Confluence, and Azure DevOps), and create governance guardrails with event-driven CI/CD release gating.

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FursaFursa
Sutherland
Sutherland
1 day ago

AI Platform Engineer — Agentic SDLC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 minutes agoStatus: Live

Job Summary

Design and harden an AI-driven software development lifecycle platform that uses agentic workflows to gather requirements, generate architecture and code, run validations, and sync artifacts. Build retrieval-augmented generation (RAG) pipelines for grounded context, implement MCP tool integrations (including Rally, Playwright, Git, Confluence, and Azure DevOps), and create governance guardrails with event-driven CI/CD release gating.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design and build AI agents that orchestrate multi-step SDLC workflows (fetch → generate → execute → validate → sync).
  • •Build RAG pipelines to ground LLM outputs using architecture docs, coding standards, and Rally artifacts.
  • •Implement MCP servers and tool integrations (Rally, Playwright, Git, Confluence, Azure DevOps).
  • •Author steering files and governance guardrails using formal rules, with bounded autonomy and human escalation.
  • •Create event-driven hooks for CI/CD integration, nightly runs, and deployment gating; package and deploy infrastructure (Docker, credential management).

Key Requirements

  • •Built or extended multi-step autonomous AI agent systems with tool-use, guardrails, and human-in-the-loop patterns.
  • •Designed retrieval-augmented generation (RAG) pipelines, including embedding, chunking, vector search, and context grounding.
  • •Production-grade TypeScript/Node.js experience (4+ years).
  • •Integrated LLMs via Azure OpenAI (GPT-4) or equivalent, including prompt engineering, structured outputs, and function calling.
  • •Designed full-stack architecture and CI/CD/DevOps pipelines, including Docker-based release automation and scheduled runs.
Experience:4+ years
Languages:English
Tech Stack:TypeScriptNode.jsAzure OpenAIGPT-4Prompt engineeringStructured outputsFunction callingAgent FrameworkKiro IDE agentsMCP (Model Context Protocol)RAGEmbedding pipelinesVector searchDocument chunkingPlaywrightFast-check (PBT)JestRallyAzure DevOpsJira

Company Brief

Sutherland
Global digital transformation and business process services firm offering AI, automation, cloud engineering, analytics and customer experience solutions to enterprises across industries.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Pittsford (Rochester), NY, United States
Founded: 1986
Glassdoor
Glassdoor: 3.5
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