Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We re building agentic, production-grade AI apps that go from idea to working solution in hours, not weeks. You ll ship multi-agent workflows, secure enterprise integrations, and real user-facing copilots on Microsoft s AI platform.
Roles & Responsibilities:
Design and implement agent + workflow architectures (single/multi-agent, routing, tool calling, memory/state).
Build rapid prototypes, then harden to production (security, reliability, monitoring, cost).
Implement enterprise integrations (APIs, data sources, connectors, functions) and ship end-to-end experiences (Teams/web).
Create and maintain evaluation harnesses (quality, regressions, safety, prompt/tool tests).
Build with modern AI-assisted engineering workflows (agentic coding, PR automation, tests).
Agentic AI applications: tool-using agents that plan, act, and complete workflows (not just chat).
RAG + enterprise grounding using Azure AI Search / Microsoft data sources (SharePoint/Fabric/etc. depending on scenario).
Copilots/Agents via Copilot Studio (low code) and/or pro-code stacks (Foundry + SDKs).
Observability + evaluation: tracing, metrics, and safe operations for agents.
Professional & Technical Skills:
- Must To Have Skills:
Strong software engineering in C#/.NET and/or Python API-first and cloud-native patterns.
Hands-on with Azure OpenAI / Azure AI app development and tool/function calling patterns.
Experience building agentic systems using one or more:
Microsoft Agent Framework (or Semantic Kernel agent framework)
Semantic Kernel / AutoGen patterns (multi-agent orchestration)
Production mindset: testing, CI/CD, telemetry, incident readiness.
Azure OpenAI, Azure AI Search, Azure Functions, Cosmos DB / Azure SQL, Microsoft Fabric
Copilot Studio (agents, connectors, plugins, actions)
Secure-by-design: identity, secrets, and least-privilege access patterns (e.g., Entra-backed auth).
- Good To Have Skills:
Azure AI Foundry Agents experience (agent service + SDK), including tracing/monitoring.
Copilot Studio: generative answers/actions, plugins, connectors, multi-channel publishing.
MCP (Model Context Protocol) exposure for tool/server interoperability.
Practical use of GitHub Copilot Agent Mode to accelerate multi-step dev loops.
Familiarity with Claude Code (agentic coding in terminal/IDE) as part of your personal dev acceleration toolkit.
Hyderabad
雇用機会の均等化に関する声明
アクセンチュアは選考に際し、適用される法令に基づき、応募者を年齢、人種、思想信条、肌の色、宗教、性別、国籍、出生地、民族的起源、障がいの有無、性的指向、性同一性、遺伝情報、婚姻、パートナーの有無、市民権において差別することなく、全ての応募者に対し適用される法令に基づき採用選考を行います。
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.