Senior AI Agent Developer – Microsoft Copilot, OpenAI
About The Position
Valtech is seeking a highly skilled AI Agent Developer to design, build, and deploy intelligent AI agents integrated with an existing Microsoft Fabric environment. You will work across Microsoft Copilot technologies, OpenAI APIs to create scalable enterprise-grade AI solutions that automate workflows, surface insights, and enhance business operations. This role requires hands-on experience with LLM orchestration, enterprise data integration, prompt engineering, agentic workflows, and secure cloud-based AI deployments. This is a temporary, full time position onsite in New York City 5 days a week.
Requirements
- Strong experience with Microsoft Copilot Studio
- Strong experience with Microsoft Fabric
- Strong experience with Azure OpenAI Service
- Strong experience with OpenAI APIs
- Experience building AI agents and autonomous workflows
- Proficiency in Python
- Proficiency in REST APIs
- Proficiency in JSON
- Proficiency in SQL
- Experience with Vector databases and embeddings
- Experience with RAG implementations
- Experience with Prompt engineering
- Experience with AI orchestration frameworks
- Familiarity with Azure services
- Familiarity with Power Platform
- Familiarity with Power Automate
- Familiarity with CI/CD pipelines
- Familiarity with Git version control
Nice To Haves
- Experience deploying enterprise AI solutions at scale
- Understanding of data governance and AI security best practices
- Experience integrating AI into analytics and reporting environments
- Knowledge of M365 Copilot ecosystem
- Experience with multi-agent systems
Responsibilities
- Design and develop AI agents using Microsoft Copilot Studio, OpenAI APIs and Azure OpenAI
- Integrate AI agents with existing Microsoft Fabric infrastructure including OneLake, Power BI, Data Factory, and Lakehouse environments
- Build multi-step agent workflows capable of data retrieval and reasoning, task automation, workflow orchestration, conversational interactions, and document analysis and summarization
- Develop secure API integrations with enterprise systems and databases
- Implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources
- Create prompt engineering frameworks and reusable AI agent templates
- Optimize AI agent performance, reliability, latency, and cost efficiency
- Collaborate with data engineers, architects, and business stakeholders to identify AI automation opportunities
- Ensure governance, compliance, and security standards are maintained across AI deployments
Benefits
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
