A

Custom Software Engineer

Accenture
NewPosted today

LOCATION

Hyderabad · Hybrid

EXPERIENCE

12+ Years

TYPE

FullTime

SKILLS REQUIRED

PythonSoftware ArchitectureReliability EngineeringPrompt EngineeringGenerative AI ToolsAgentic AI

Job description

Overview

Own the automation architecture for application support operations, leading delivery using Python, Generative AI and Agentic AI to turn incidents, requests, batch, observability and alert opportunities into reusable workflows.

What you'll do

  • Define and govern automation architecture across ITIL phases, including HLD/LLD and standards.
  • Act as design authority and SME for Python automation, GenAI and Agentic AI, owning design decisions.
  • Build agent orchestration, tool calling, RAG over runbooks, and knowledge assistants.
  • Automate ticketing scope: triage, routing, auto-remediation and RCA.
  • Automate non-ticketing scope: batch, health checks, data fixes, access and reports.
  • Apply SRE and observability practices: SLI/SLO, golden signals, self-healing and alert noise reduction.
  • Govern integrations, CI/CD, coding standards and Responsible AI guardrails.
  • Build the automation business case, present outcomes and mentor the team.

What you'll need

  • Advanced Python with enterprise automation architecture and hands-on GenAI and Agentic AI development.
  • 10+ years in software or automation engineering with production assets and architecture ownership.
  • GenAI skills: prompt engineering, RAG, LLM integration and guardrails.
  • Agentic AI experience with LangChain, LangGraph, AutoGen or CrewAI on Azure OpenAI or Bedrock.
  • REST API, JSON, SQL, scripting integration and event-driven design.
  • SRE, event correlation and observability (Dynatrace, Splunk, Grafana, ELK), DevOps/CI-CD and ITIL.
  • Stakeholder management and business outcome articulation with client architects and leadership.
  • Minimum 12 years of experience.
  • 15 years of full-time education.

Nice to have

  • Vector databases (Azure AI Search, Pinecone, ChromaDB, FAISS), knowledge graphs, and cloud (Azure, AWS, GCP).
  • Preferred certifications in Python, cloud, Generative AI, ITIL or observability.

Details

  • Location: India or Global Delivery Center locations, hybrid.
  • Success measures: assets deployed, effort and ticket reduction, MTTR and alert noise.

Read the full description and apply on the company’s own careers page.

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Custom Software Engineer