Senior AI Developer

Cicero™, part of MGT; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

Cicero™, part of MGT, is seeking a Senior AI Developer in Washington, DC to join their AI Operating Group. This hands-on role requires building production AI solutions, particularly with the Microsoft Azure AI stack. The ideal candidate will have over 5 years of software development experience, with a focus on AI applications and hands-on experience with LLMs. You will collaborate closely with client teams to translate requirements into technical solutions. Join a high-visibility team committed to actively delivering impactful AI products.

Qualifications

• 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications.
• Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases.
• Ability to independently scope and deliver technical solutions with minimal oversight.

Responsibilities

• Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems.
• Develop on the Microsoft Azure AI stack, including Azure OpenAI Service.
• Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems.

Skills

AI development experience

Microsoft Azure ecosystem

Large Language Models (LLMs)

RAG architectures

Prompt engineering

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Tools

Microsoft Copilot Studio

Power Platform

LangChain

LangGraph

Job description

• MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client‑facing AI solution delivery, primarily serving the state and local government market.
• This is a deeply technical, hands‑on role. You will build the AI systems that power our client engagements and internal product suite — not prototype them, not advise on them. You will own the code, the architecture, and the output. The right person for this role has real AI development experience, is fluent in the Microsoft Azure ecosystem, and takes pride in shipping things that actually work in production.
• This is not a consulting role, but you will work closely with client‑facing teams. You should be comfortable translating ambiguous business requirements into clean technical solutions, and working across a team where not everyone speaks your language.

What You'll Do

• Build and maintain production‑grade AI solutions including RAG pipelines, agentic workflows, and multi‑agent systems
• Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services
• Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems and data sources
• Work with tool‑layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems
• Develop reusable components, skills, templates, and accelerators that scale across multiple engagements
• Collaborate with AI Solutions Architects and project leads to translate solution designs into working builds
• Contribute to and help set technical standards for the AI OG's code‑first development practices
• Support internal product development across MGT's AI tool suite

Required Qualifications

• 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications
• Hands‑on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases
• Ability to independently scope and deliver technical solutions with minimal oversight
• A builder mentality: you would rather figure it out and ship it than wait for a detailed specification

Preferred Qualifications

• Experience with Microsoft Copilot Studio or Power Platform
• Background in data architecture, ETL/ELT pipelines, or analytics platforms
• Experience with frameworks such as LangChain or LangGraph
• Prior work in consulting, professional services, or client‑facing technical delivery
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

What Success Looks Like

• Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something.
• Within 90 days: You are independently owning technical builds on client projects and contributing to internal product development.
• Within 6 months: You are setting technical standards for the team, accelerating junior developers, and driving architectural decisions on complex engagements.

Why MGT

• You will be joining a team that is actively building and shipping AI products, not talking about them. We have real tools in production, real clients using them, and a leadership team that understands both the technology and the business.
• This is a high‑visibility role with direct access to senior leadership and the opportunity to shape how AI gets delivered across the organization. We are building the AI practice from the ground up, which means you will have an outsized impact on the tools, processes, and culture of the team.
• Our philosophy: clean data foundations first, AI layered on top. Process understanding before automation. Empowering domain experts to build, not centralizing AI capability in a silo. If that resonates with you, this is your team.