AI Solutions Engineer *Global

##### **AI Solutions Engineer** ##### *MGT Consulting · India (Remote) · Full-time* ##### MGT is a US-based management consulting firm serving public sector and education agencies, alongside clients in technology, finance, and advisory. With several decades of experience and significant recent growth, MGT has built a dedicated AI Operating Group (AI OG) — focused on designing, building, and deploying AI-powered solutions across the firm and its clients. ##### The India team is a fully integrated global delivery function, working in close collaboration with US-based consultants and product leads. This is a core engineering role embedded in an active, fast-moving AI practice ##### The Role ##### You will design and deliver production-ready, scalable agent-based systems that integrate with Azure cloud services and Microsoft platforms — working directly on AI OG initiatives spanning internal automation, client-facing AI tools, and agentic workflow platforms. ##### The expectation is strong engineering discipline, end-to-end ownership, and the ability to think in systems. You will build things that get used. ##### ##### Key Responsibilities - ##### Designing and building scalable agentic systems using modern orchestration patterns - ##### Developing multi-agent workflows with tool use, memory, and decision logic - ##### Building backend services and APIs supporting AI-driven applications - ##### Integrating AI systems with enterprise data, platforms, and business workflows - ##### Deploying, scaling, and monitoring applications on Azure-native services - ##### Solving real problems with end-to-end ownership - ##### Partnering with consulting leads to translate ambiguous use cases into working systems - ##### Contributing to internal frameworks, reusable components, and engineering standards ##### ##### Core Requirements - ##### 3+ years of professional backend engineering experience - ##### Strong hands-on experience with Microsoft Azure (compute, storage, networking, security) - ##### Proficiency in Python, C#, or TypeScript - ##### Experience with cloud-native architectures — APIs, messaging, async workflows, identity - ##### Solid understanding of distributed systems and reliability principles - ##### Experience in modern DevOps environments with CI/CD pipelines - ##### Comfortable operating with ambiguity and driving solutions forward independently ##### ##### Preferred / AI-Focused Experience - ##### Hands-on experience building AI agents, automation systems, or LLM-based applications - ##### Familiarity with orchestration frameworks such as Semantic Kernel, LangGraph, AutoGen etc. - ##### Experience with Azure AI Foundry, Azure OpenAI, or AI Studio - ##### Understanding of RAG architectures, prompt design, and tool calling patterns - ##### Exposure to Copilot Studio, Microsoft Graph, or enterprise SDK integrations ##### ##### ##### ##### PAGE **1** ##### ##### ##### Ideal Mindset - ##### Builders who ship — not just experiment - ##### Strong ownership and accountability for outcomes - ##### Ability to think in systems, not just in code - ##### Pragmatic about AI capabilities and trade-offs - ##### Cares about maintainability and long-term code health - ##### Collaborative across time zones and disciplines