> Markdown version of [/jobs/ext/4391261-ai-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4391261-ai-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - **Company:** The Aerospace Corporation - **Location:** Colorado Springs, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $249,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Information Systems, Databases, Computer Engineering, Python (Programming Language), Machine Learning, Software Engineering, Verification and Validation (Software), Data Streaming, Retrieval-Augmented Generation, Multi-Agent Systems, Information Technology, Modeling and Simulation - **Published:** October 19, 2026 - **Apply:** https://aero.wd5.myworkdayjobs.com/External/job/Colorado-Springs-CO/AI-Solutions-Engineer_R016909 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Statistics, Information Systems, Operations, Aerospace Engineering, Physics, STEM or a related technical field, or equivalent work experience. * 8 years of progressive technical experience in AI/ML engineering, software or systems engineering, modeling and simulation, or a comparable engineering discipline, including delivering working capability to real users. * Demonstrated experience leading a technical project or team, including accountability for technical approach, cost, and schedule, without relying on formal reporting authority over the team. * Working proficiency in Python and practical experience building with modern AI/ML tooling, which may include large language model APIs, agent orchestration frameworks, retrieval augmented generation, evaluation harnesses, or classical ML and simulation frameworks. * Ability to reason about system design and make defensible architecture decisions, including data flow, integration with existing tools and databases, and the tradeoffs between what is fast to build and what is sustainable. * Working understanding of cloud platforms (Azure, AWS, or GCP) and of how capability moves from prototype to a supported production environment. * Demonstrated ability to work directly with subject matter experts or customers to elicit requirements, and to translate domain expertise into technical requirements. * Strong written and verbal communication, including the ability to brief technical status and technical risk to leadership clearly and without overstating progress. * Willing to travel approximately 25% of the time to support customer meeting and technical collaboration. * This position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. How You Can Stand Out It would be impressive if you have one or more of these: * Advanced degree in a STEM or other technical discipline. * 12+ years of technical experience, including leading multi-person technical projects to delivery. * Direct mission experience in the national space domain, missile defense, or remote sensing. * Experience building agentic AI systems that call tools, query databases, or drive physics models, and the evaluation work required to show they are reliable enough to use. * Experience deploying AI capability that engineers adopted and kept using, with evidence of sustained use rather than a successful demonstration. * Depth in one of these engineering domains: component engineering, modeling and simulation, verification and validation, or spectral phenomenology. * Experience with agentic coding assistants or developer productivity tooling at organizational scale. * Experience delivering capability on accredited networks, or working within authorization to operate and continuous monitoring processes. * Experience establishing evaluation criteria or acceptance gates for AI capability, including deciding that something was not ready to field. * Experience standing up a capability in its earliest phase, before requirements, funding, or customer scope were fully defined. * Current DoD TS and SSBI/SCI clearance. ## Description * Serve as the technical project lead for an assigned AI initiative, owning its technical approach, requirements, architecture, roadmap, and technical dependencies. * Lead the project team day to day, including engineers, subject matter experts, and partner organizations who do not report to you, and set the technical direction they work to. * Own cost and schedule performance for your initiative, including estimates, milestone commitments, variance, and the funding requests that support it. * Decompose a loosely defined capability goal into scoped increments that deliver something usable, and sequence them so value arrives before the full vision does. * Define what good looks like for your capability and measure it, including evaluation criteria, acceptance tests, and the performance thresholds a capability must meet before it reaches users. * Identify, track, and retire technical risk, and raise disconnects that cannot be resolved at the project level rather than absorbing them quietly. * Work with subject matter experts to capture how expert work is actually performed, and translate that into tools, data, and agent behavior that engineers will trust and use. * Partner with platform, data, security, and accreditation teams to field capability in the environments where the work happens, including accredited networks. * Represent your initiative in technical reviews, program management reviews, and stakeholder forums, and brief its status honestly, including what is behind and why. * Document the technical baseline and keep it current, so the initiative does not depend on what is in your head. * Mentor engineers on the project and grow AI delivery skill across the team.