Job Title

Job Description Insight Global is seeking a Senior GenAI / Multiu2011Agent Architect to design, build, and implement advanced generative AI solutions supporting commercial airline client in network planning, flight scheduling, and operational scenario analysis. This role will partner directly with IT and business stakeholders to translate operational requirements into scalable, productionu2011ready GenAI solutions. The ideal candidate brings deep experience in multiu2011agent systems, Model Context Protocol (MCP), and AWS Bedrock, with handsu2011on delivery experience across supervised agents, orchestration frameworks, and u201cwhatu2011ifu201d modeling for complex operational environments. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Business & Technical Translation: Act as the onsite GenAI technical lead, partnering with United DT and network planning stakeholders to translate business requirements into technical architectures and agent workflows. Drive requirements intake for network planning, flight scheduling, and operational decisionu2011support use cases. Multiu2011Agent & MCP Architecture: Design and implement multiu2011agent systems using supervised and autonomous agents for decision support, analysis, and recommendations. Apply Model Context Protocol (MCP) to manage shared context, memory, and tool orchestration across agent workflows. GenAI Platform & Build: Design, build, and deploy GenAI solutions leveraging AWS Bedrock, including foundation model selection, prompt strategies, and inference optimization. Develop supervised agent layers (e.g., knowledgeu2011grounded chat, analytical agents, orchestration agents). Ensure solutions integrate cleanly with existing United applications, data sources, and security standards. Use Case Delivery: Deliver and iterate on GenAI solutions supporting: Network planning and aircraft scheduling Operational disruption scenarios Decision intelligence and recommendations Progress solutions from currentu2011state humanu2011assisted analysis to futureu2011state automation. Operational Intelligence & Analytics: Enable largeu2011scale summarization and insight generation (e.g., weekly global flight schedule and airline trend analyses). Design agentu2011based systems capable of comparative, trendu2011based, and anomalyu2011driven analysis. Scenario & u201cWhatu2011Ifu201d Modeling: Build GenAIu2011enabled whatu2011if analysis capabilities (e.g., gate closures, aircraft changes, or operational disruptions). Integrate GenAI reasoning with supporting analytical or simulation models (e.g., Gamma or other probabilistic/optimization models) to evaluate downstream operational impact. 10+ years in AI, data, or advanced analytics roles, with significant GenAI production experience Handsu2011on experience designing multiu2011agent architectures Strong working knowledge of Model Context Protocol (MCP) or equivalent context/stateu2011management frameworks Proven experience building on AWS Bedrock Experience deploying supervised agents, orchestration layers, and toolu2011using agents Strong communication skills with both technical and business stakeholders