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.