Note: The job is a remote job and is open to candidates in USA. Cicero™, part of MGT, is hiring AI Solutions Architects to join their AI Operating Group, which focuses on both internal AI tool development and client-facing AI solutions for state and local governments. The role involves designing and building AI-powered solutions, requiring a blend of technical skills and business problem-solving capabilities.
Responsibilities
- Design end-to-end AI solution architectures for client engagements, from problem discovery through production deployment
- Build and implement RAG pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph
- Architect data pipelines and integration patterns that connect AI capabilities to existing 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 project leads, consultants, and subject matter experts to translate business requirements into technical specifications and solution designs
- Support internal product development across MGT’s AI tool suite
- Present technical architectures and solution recommendations to both internal leadership and client stakeholders
- Participate in discovery sessions and workshops to identify high-impact AI use cases within client organizations
Skills
- 3–5 years of professional experience; does not have to be in AI, but must demonstrate strong technical problem-solving ability and a track record of building solutions that work
- Hands-on experience with one or more of the following: LLM-based application development, retrieval-augmented generation (RAG) architectures, agentic design patterns, prompt engineering, or vector databases
- Demonstrated ability to learn new technical capabilities and platforms quickly
- Strong communication skills; you will work with consultants, clients, and executive leadership, not just engineers
- Ability to independently scope, architect, 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
- Bachelor's degree or equivalent practical experience
- Experience in consulting, professional services, or client-facing technical delivery
- Background in data architecture, ETL/ELT pipelines, or analytics platforms
- Programming experience in Python or similar languages
- Experience working with cloud-based AI services on any major platform
Company Overview