Custom Software Engineer

**Project Role : **Custom Software Engineer **Project Role Description : **Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. **Must have skills : **Python (Programming Language) **Good to have skills : **Generative AI Minimum 12 year(s) of experience is required **Educational Qualification : **15 years full time education

Summary: Owns the automation architecture for application support operations and leads delivery using Python, Generative AI and Agentic AI. Converts opportunities across incidents, requests, batch, observability and alerts into reusable workflows. Roles & Responsibilities: Architecture — Define and govern automation architecture across ITIL phases: HLD/LLD and standards. Design authority — SME for Python automation, GenAI and Agentic AI owns design decisions. GenAI/Agentic AI — Agent orchestration, tool calling, RAG over runbooks, knowledge assistants. Automation scope — Ticketing (triage, routing, auto-remediation, RCA) and non-ticketing (batch, health checks, data fixes, access, reports). SRE/observability — SLI/SLO, golden signals, self-healing, alert noise reduction. Engineering discipline — Govern integrations, CI/CD, coding standards, Responsible AI guardrails. Leadership — Build the automation business case, present outcomes and mentor the team. Professional & Technical Skills: Must-have skills 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: prompt engineering, RAG, LLM integration, guardrails. Agentic AI: LangChain, LangGraph, AutoGen or CrewAI on Azure OpenAI or Bedrock. REST API, JSON, SQL and scripting integration and event-driven design. SRE, event correlation, observability (Dynatrace, Splunk, Grafana, ELK), DevOps/CI-CD, ITIL. Stakeholder management and business outcome articulation with client architects and leadership. Good-to-have skills Vector databases (Azure AI Search, Pinecone, ChromaDB, FAISS), knowledge graphs, cloud (Azure, AWS, GCP). Additional Information: India or Global Delivery Center locations, hybrid 15 years full-time education. Preferred certifications: Python, cloud, Generative AI, ITIL or observability. Success measures: assets deployed, effort and ticket reduction, MTTR and alert noise.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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