Agentic AI - Senior Engineer

Iris Software; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Iris Software is looking for a Senior Engineer to work on architecting and deploying intelligent AI agents in Noida. You will develop solutions that automate tasks and improve productivity, working closely with engineering teams and stakeholders.

The role requires expertise in AI systems, Python, and integration with platforms like Microsoft 365. You'll have the chance to shape technology roadmaps and ensure adherence to data protection and regulatory standards.

Qualifications

• Strong knowledge of AI frameworks and augmentation techniques.
• Experience in integrating AI solutions with enterprise systems.
• Expertise in Python and data manipulation.

Responsibilities

• Architect and deploy intelligent agent solutions automating tasks.
• Design workflows and integration patterns for automation.
• Monitor adoption metrics and KPIs for Copilot solutions.

Skills

Data AI – Gen AI – Retrieval Augmented Generation (RAG)

Data AI – Gen AI – Python

Data AI – Gen AI – Prompt Engineering

Data AI – Gen AI – Azure OpenAI Service

Data AI – Gen AI – Workflow Agentic Frameworks

Job description

Agentic AI – Senior Engineer

Location: Noida, UP, India

Primary Responsibilities

• Architect, develop, and deploy intelligent agents, copilot experiences, Claude solutions that automate tasks, support decision-making, and improve end‑user productivity.
• Design agent workflows, tool use, and orchestration patterns to enable reliable, multi‑step automation (including error handling, observability, and guardrails).
• Integrate solutions across Microsoft 365 (Teams, SharePoint, Outlook), Power Platform (Power Apps, Power Automate, Power Virtual Agents), Claude AI (from Anthropic) to deliver AI‑enabled automation at scale.
• Build and maintain secure, production‑ready integrations with enterprise systems and third‑party services via RESTful APIs and event‑driven patterns.
• Partner with product, UX, and engineering stakeholders in an agile environment, contributing to planning, estimation, reviews, and iterative delivery.
• Champion quality and operational excellence through testing, CI/CD, performance tuning, documentation, and continuous improvements informed by telemetry and user feedback.
• Implement, monitor and provide continuous improvement of digital workplace technologies (Microsoft 365 services and collaboration services).
• Work with IT and business stakeholders to document and refine Copilot use cases across departments (e.g., customer service, legal, HR). Monitor adoption metrics and KPIs using Copilot dashboards and analytics tools.
• Maintain Copilot Studio agents and connectors for integration with internal data sources and workflows. Develop prompt libraries and role‑specific templates to boost user productivity.
• Act as an expert on Copilot capabilities, offering guidance and support to end users. Assist and oversee a Center of Excellence to ensure end users and Copilot Champions have access to current information.
• Collaborate with engineering teams to enhance Copilot performance and address technical issues. Develop and enforce data protection policies, including access controls, prompt injection defenses, and content filtering.
• Ensure adherence to enterprise security standards and regulatory requirements (e.g., SOC 2, GDPR). Maintain ethical standards and comply with all applicable laws and regulations relevant to your job function.
• Conduct enablement sessions, create best practices documentation for responsible AI usage, and stay updated with Microsoft Copilot changes and AI trends. Collaborate with service delivery partners to manage and secure digital workplace technologies.
• Stay informed about emerging technology trends and identify opportunities to enhance continuous improvement initiatives. Collaborate with architecture teams to contribute to the technology roadmap. Lead and participate in technology proof of concepts (POCs) and pilot projects. Oversee the planning and implementation of new or upgraded technology services.

Mandatory Competencies

• Data AI – Gen AI – Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
• Data AI – Gen AI – Workflow Agentic Frameworks (LangChain / LangGraph)
• Data AI – Gen AI – Azure OpenAI Service
• Data AI – Gen AI – Advanced GenAI Agentic Framework Concepts
• Data AI – Gen AI – Fine tuning Model Customization / AI Agents Tool Calling
• Data AI – Gen AI – Cloud Application Integration Deployment
• Data AI – Gen AI – Python
• Data AI – Gen AI – Prompt Engineering / Vector Databases
• Data AI – Gen AI – Amazon Bedrock
• Beh – Communication and collaboration