AI Solutions Engineer Global

MGT • ,

7d • Remote

About The Position

MGT Consulting 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. 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.

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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed