Senior Agentic AI Developer

Accountabilities: Design, develop, and maintain conversational AI solutions, custom copilots, and agentic workflows using Microsoft Copilot Studio, Power Automate, and custom Python architectures. Build and integrate AI agents and automated workflows with enterprise data platforms, particularly Snowflake and SharePoint. Architect, deploy, and operate scalable, resilient cloud infrastructure on Microsoft Azure. Develop and manage CI/CD pipelines using YAML and GitOps practices to support reliable deployments and ongoing delivery. Establish monitoring, logging, auditing, and observability strategies using Splunk to track agent performance, latency, operational bottlenecks, and system reliability. Leverage AI-assisted development tools such as Cursor IDE and GitHub Copilot to improve coding efficiency, code quality, and engineering standards. Collaborate with cross-functional and international teams, provide technical guidance, participate in client discussions, and recommend emerging AI technologies. Promote reusable components, consistent engineering practices, and scalable automation architectures across projects. Requirements: At least 5 years of experience in software engineering, cloud engineering, or automation, with demonstrated success delivering enterprise-scale solutions. At least 4 years of hands-on Python development experience, including backend services, APIs, and data integrations. At least 2 years of experience designing and deploying solutions with Microsoft Copilot Studio or Power Virtual Agents and Power Automate. Proven experience developing agentic workflows or AI pipelines and integrating large language models (LLMs) into business processes. Strong cloud engineering expertise, particularly with Microsoft Azure; experience with AWS is an advantage. Practical experience integrating applications or AI agents with Snowflake. Experience building high-volume logging and monitoring ecosystems, including Splunk, multi-region data ingestion, and automated reporting. Regular use of AI-assisted development tools such as GitHub Copilot, Cursor IDE, or ChatGPT to enhance engineering workflows. Strong English communication skills and the ability to collaborate effectively with international teams. Nice to have: Experience with Azure DevOps, including pipelines, repositories, artifacts, and YAML. Nice to have: Familiarity with AI agent frameworks such as LangChain, Semantic Kernel, or AutoGen. Nice to have: Experience integrating with SharePoint and building reusable modules and reproducible infrastructure standards. Benefits: 100% remote work. A high-impact strategic role with substantial autonomy and ownership. Opportunities to scale cloud infrastructure and automation practices in global environments. A collaborative senior engineering culture with strong technical leadership. Clear career growth pathways and access to leadership opportunities. An inclusive, challenging environment focused on technology, collaboration, and professional development. A commitment to fair compensation; specific salary details are not provided in the job description.