Custom Software Engineer
Accenture - Bengaluru
Still listed by Accenture · checked today · posted 23 Oct 2026 (yesterday)
Skills: Python, Generative ai, Agentic ai, Langchain, Langgraph, Autogen, Crewai, Azure openai, Bedrock, RAG, LLM, Rest api, Json, SQL, Servicenow, Jira, Github, Dynatrace, Splunk, Grafana, ELK, Itil, Ci/cd, SRE, Observability
**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 7.5 year(s) of experience is required **Educational Qualification : **15 years full time education
Summary: Builds automation for application support operations and contributes to the architecture it runs on, using Python, Generative AI and Agentic AI. Converts opportunities across incidents, requests, batch, observability and alerts into reusable workflows. Roles & Responsibilities: Solution design — SME in Python automation and GenAI owns design for assigned workstreams. Architecture contribution — Produce HLD/LLD, reusable frameworks and patterns across ITIL phases. 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 — Integrate ServiceNow, Jira, GitHub, monitoring CI/CD and standards. Team contribution — Demonstrate solutions to stakeholders and mentor junior engineers. Professional & Technical Skills: Must-have skills Advanced Python with enterprise automation delivery and hands-on GenAI and Agentic AI development. 8+ years in software or automation engineering with production automation assets delivered. 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. Clear communication and demonstration skills with client stakeholders and delivery teams. 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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