We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Solution Engineer (AI/ML + Software + Data Engineering) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solution Engineer (AI/ML + Software + Data Engineering) in the United States.. We are seeking a highly skilled Solution Engineer to provide technical leadership across AI/ML, software development, and data engineering initiatives. In this role, you will design and implement advanced solutions, lead prototype development, and support proposal responses for complex federal projects. You will collaborate closely with cross-functional teams to integrate AI/ML pipelines, ensure dataset quality, and deliver scalable, mission-ready solutions. Your expertise will directly influence project success, support strategic business development, and drive innovation across high-impact initiatives. This position offers an opportunity to apply cutting-edge technologies in a dynamic, secure, and mission-focused environment.. . Accountabilities. As a Solution Engineer, your key responsibilities include:. . Develop technical solution architectures, design approaches, and technical narratives for federal proposals and initiatives.. . Author and co-author technical volumes for BAAs, CSOs, and RFP responses, ensuring compliance with IL5/IL6, FedRAMP, and RMF frameworks.. . Build and deliver proofs-of-concept (MVPs), integrating AI/ML workflows with geospatial, cyber, and mobile data pipelines.. . Establish and monitor dataset quality metrics, develop “gold standard” training datasets, and implement QA pipelines for consistency and accuracy.. . Collaborate with business development, finance, and cross-functional teams to provide basis-of-estimate (BOE) inputs for pricing, resourcing, and technical capture.. . Represent the organization in technical discussions with government customers and partners, translating mission requirements into actionable solutions.. . Ensure mission-aligned solutions support federal programs such as MDA SHIELD, DARPA SABER, and SDA TAP Lab.. . . Candidates should have:. . 7–10 years of experience in software or data engineering, including 5+ years in AI/ML pipeline design and implementation.. . Strong proficiency in programming languages such as Python, JavaScript/TypeScript, or Go.. . Hands-on experience with AI/ML systems, model training pipelines, and evaluation frameworks.. . Expertise in cloud infrastructure, containerization, microservices, and distributed systems.. . Knowledge of ephemeris data, mobile location data workflows, and multimodal data integration.. . Proven track record in technical proposal authorship and solution architecture development.. . Experience establishing dataset QA metrics, synthetic data workflows, and model assurance techniques.. . Leadership experience, including mentoring engineers, managing teams, and fostering technical growth.. . Excellent communication skills to convey complex technical concepts to technical and executive stakeholders.. . Preferred Qualifications:. . Background in AI/ML companies or data annotation/labeling platforms.. . Familiarity with MLOps, model monitoring, and evaluation methodologies.. . Experience with enterprise software compliance frameworks (FedRAMP, RMF, IL5/IL6).. . Cloud certifications (AWS, Azure, or GCP) highly desirable.. . Active TS/SCI clearance; CI Polygraph preferred.. . . Company Location: United States.