Senior Technology Solutions Specialist
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry‑leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
Our IS&T (Information Services and Technology) department provides all the required technology and operational support services to run our business here in BMC! We have over 200 servers on premises to support production, disaster recovery, databases, applications and over 1000 servers in Lab environment. IS&T is transformational not only for BMC but also for the customer experience, because we give a 360° view to the customer about the products they should know, opportunities in the pipeline, and any service issues outstanding with the customer.
We use cutting‑edge technologies to manage BMC's infrastructure and showcase it to the customers – program is called BMC on BMC!
We are seeking a highly skilled and innovative AI Solutions Engineer to join our team and lead the development of intelligent AI agents and Generative AI solutions using the Microsoft Power Platform ecosystem, with a primary focus on Power Automate, Copilot Studio, and AI Builder. This role is ideal for someone passionate about pushing the boundaries of applied AI using low‑code/pro‑code hybrid approaches, with hands‑on experience in building scalable, production‑grade Generative AI (GenAI) systems and advanced conversational AI agents.
Key Responsibilities 1. AI & Development Expertise- Demonstrate strong programming proficiency, particularly in Python and equivalent, with experience in AI‑centric libraries and frameworks such as Tensor Flow, PyTorch, Hugging Face Transformers, or similar technologies.
- Understand and apply AI/ML concepts to practical business solutions within the Microsoft Power Platform environment.
- Architect and implement Retrieval‑Augmented Generation (RAG) pipelines to enhance Copilot and AI agent performance using external knowledge sources.
- Manage document chunking strategies, embedding generation, vector databases, and intelligent retrieval systems.
- Integrate knowledge sources (SharePoint, Dataverse, One Drive, etc.) into Copilot Studio agents.
- Design, develop, and deploy custom AI agents and copilots in Microsoft Copilot Studio capable of autonomous decision‑making, multi‑turn conversations, and complex task execution.
- Build agents that leverage Large Language Models (LLMs) and multi‑modal capabilities.
- Implement adaptive orchestration of multiple AI skills, APIs, and data sources.
- Master Copilot Studio Agent Builder advanced features including:
- Custom plugin and connector development
- Adaptive orchestration of multiple AI skills and APIs
- Contextual memory and conversation state management
- Dynamic prompt engineering and prompt tuning
- Secure data handling and compliance practices
- Generative AI capabilities integration
- Design and implement sophisticated Power Automate flows for:
- AI‑driven task automation and business process automation
- Integration with Copilot Studio agents
- Data processing and transformation workflows
- Scheduled, triggered, and event‑driven automations
- Configure and manage various trigger types: message, data event, scheduled, and webhook triggers.
- Create logical, scalable, and maintainable automation flows for complex business processes.
- Leverage Power Platform connectors and custom connectors to integrate enterprise applications and services seamlessly.
- Connect AI agents with Azure AI Services, Azure OpenAI Service, and other Microsoft AI offerings.
- Integrate with Microsoft 365, Dynamics 365, and third‑party systems.
- Manage data pipelines involving pre‑processing, transformation, augmentation, and preparation for AI model consumption.
- Ensure robust data handling practices including cleaning, validation, labeling,…
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