Hiring: AI Solution Architect Company: Jet Support Services, Inc. (JSSI) Location: Chicago, IL Job Posted Time: 2026-09-10 07:38:16 Employment Type: Full-time Target Skills & Keywords : .NET, API Design, Agile, Azure, C#, CI/CD, Data Lake, Fine-tuning, GitHub, LLM, Microservices, RESTful, React, SQL, SQL Server, SaaS, Salesforce, Systems Design, TestNG, TypeScript About the job Experience: •10 years of overall software engineering experience, including 3–5 years in a Solution Architect, Staff/Principal Engineer, or equivalent senior technical role with ownership of system design for production SaaS platforms. Required Skills: •Own the AI First architecture for JSSI's software delivery lifecycle, rolling out spec-driven delivery models and bringing AI agents into day-to-day engineering across teams, working toward a target of 100% of all code being generated by AI. •Lead integration and adoption of AI tools, agents, agent skills, and services across specification, development, review, testing, documentation, and release, driving both technical connection and day-to-day uptake by engineering teams. •Build and maintain AI frameworks enabling scalable fine-tuning and prompt engineering pipelines, inference, experiment tracking, observability, and model governance. •Architect multi-agent systems (orchestration, reasoning, planning, autonomous task execution) on layered, distributed architectures (queues, caching, APIs, database schemas) operated by teams of coding agents. •Translate Agile artifacts (epics, user stories, acceptance criteria) and product inputs into structured, agent-ready specifications that coding agents implement. •Set technical standards for API design and interoperability, along with the guardrails, evaluation frameworks, and agent behavior boundaries that ensure responsible, predictable AI deployment. •Design, build, and evaluate MCP servers that expose JSSI enterprise systems as model-ready tools, and define criteria for assessing third-party MCP integrations for security, reliability, and production readiness. •Design, build, and maintain agent-based automation that coordinates LLMs, tools, APIs, and enterprise data (Salesforce, email, BI tools, data lakes) into cohesive, production-grade workflows. Qualifications: •6–10 years of overall software engineering experience, including 3–5 years in a Solution Architect, Staff/Principal Engineer, or equivalent senior technical role with ownership of system design for production SaaS platforms. •Demonstrated experience designing and implementing AI First, spec-driven (SDD) workflows across the software delivery lifecycle •Production-level, cloud-native development in the Microsoft stack (C#/.NET, React/TypeScript, RESTful Web APIs, SQL Server / Azure SQL Managed Instances) and distributed-systems patterns such as queues, caching, and scalable APIs. •Proven ability to mentor engineers and guide multiple teams through influence rather than direct people management. •Excellent written and verbal communication skills; able to translate technical concepts for non-technical audiences. •AI & Claude Ecosystem Proficiency (Claude Strongly Preferred) •Applied hands-on capability in AI coding agents and agentic workflows (Claude Code strongly preferred; also GitHub Copilot, Codex, or equivalent), including CLI integration and multi-agent development pipelines. •Strong prompt engineering skills, including structured outputs and retrieval-augmented prompting. •Production expertise with LLM APIs (Claude API preferred): tool use, computer use, vision, document processing, streaming, and rate-limit management. •Applied hands-on capability in multi-agent design patterns (planning, orchestration, observability) and MCP server implementation against enterprise data sources. Compensation: •$160,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!