AI Engineer

Position Summary

Join our AI Enablement team and help accelerate enterprise-wide AI adoption. This role is designed for engineers passionate about applying AI to real-world business challenges. The successful candidate will work on rapid prototyping, automation, and integration of AI solutions that enhance productivity and innovation across diverse business areas .

Key Responsibilities

• Build and deploy AI-driven tools and workflows using platforms such as Copilot Studio, UiPath, and other automation frameworks .

• Connect AI agents with enterprise systems including SharePoint, Microsoft 365, external APIs, and knowledge bases .

• Identify repetitive tasks and develop intelligent automation solutions to improve efficiency .

• Partner with cross-functional teams to enable AI literacy, create best-practice ation, and support training initiatives .

• Collaborate with cybersecurity teams to ensure AI solutions meet security, ethical, compliance, and governance requirements .

• Ensure secure agent interactions using encryption, authentication, and authorization mechanisms .

• Integrate solutions with identity platforms including OAuth2, OIDC, SAML, Entra ID, and AD FS .

• Continuously improve solutions through feedback, iteration, and scalable innovation .

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field .

• Minimum 5 years of software development experience, including at least 2 years focused on AI/ML engineering .

• Strong understanding of AI concepts, machine learning pipelines, and automation tools .

• Hands-on experience with Copilot Studio, UiPath, and SharePoint .

• Experience with cloud AI platforms including Azure AI Foundry, AWS Bedrock, and/or Google Vertex AI .

• Knowledge of retrieval-augmented generation (RAG), semantic chunking, memory persistence, and scalable context management .

• Experience implementing multi-agent workflows and agent orchestration frameworks .

• Ability to design and manage context-aware systems leveraging Model Context Protocol (MCP), prompt engineering, memory management, and context optimization .

• Familiarity with A2A (Agent-to-Agent) frameworks and integrations .

• Strong development skills in .NET, C#, Python, Java, APIs, SQL, PowerShell, and Unix shell scripting .

• Experience with cloud platforms, API integrations, and data quality validation .

• Strong communication, collaboration, and problem-solving skills .

Preferred Qualifications

• Exposure to Generative AI, prompt engineering, and agent-based systems .

• Interest in AI governance, security, and ethical frameworks .

• Ability to deliver quick wins while maintaining enterprise standards .