Solution Engineer (AI/ML + Software + Data Engineering)

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.

This role serves as the technical anchor for complex AI/ML and data engineering initiatives, bridging software development, cloud infrastructure, and mission-critical federal solutions. You will design solution architectures, develop prototypes, and ensure data pipeline and ML workflow integrity while collaborating closely with cross-functional teams. The position offers a unique opportunity to influence AI/ML platforms, improve dataset quality, and support high-impact programs in defense and intelligence domains. The ideal candidate combines deep technical expertise with strong leadership, problem-solving skills, and a hands-on approach to delivering innovative solutions. Remote work is supported, with occasional travel for customer engagements and technical demonstrations.

Accountabilities

·         Develop and document technical architectures, solution designs, and proposal narratives for AI/ML and data engineering initiatives.

·         Build and deliver prototypes and proofs-of-concept (MVPs) aligned with priority projects, integrating AI/ML workflows with cloud-based data pipelines.

·         Design, validate, and maintain datasets, ensuring accuracy, consistency, and alignment with defined quality metrics and assurance frameworks.

·         Implement dataset QA pipelines, including ontology alignment, annotation consistency, and bias detection.

·         Provide basis-of-estimate (BOE) inputs for labor, cloud usage, and dataset production, supporting capture and proposal processes.

·         Engage with customers and partners to translate mission requirements into actionable technical solutions.

·         Mentor engineers, lead cross-functional projects, and uphold high standards of engineering excellence across teams.

·         Bachelor’s degree in Computer Science, Data Engineering, or related STEM field (Master’s preferred).

·         7–10 years of experience in software or data engineering, with 5+ years in AI/ML pipeline design and implementation.

·         Strong programming skills in Python, JavaScript/TypeScript, Go, or similar languages.

·         Hands-on expertise with AI/ML systems, multimodal data fusion, ephemeris data engineering, and mobile location data workflows.

·         Experience with cloud infrastructure, containerization, microservices, and distributed systems.

·         Proven experience developing and validating dataset quality metrics, producing “gold standard” datasets.

·         Knowledge of DoD/IC compliance frameworks (FedRAMP, RMF, IL5/IL6).

·         Excellent communication skills for technical proposal writing, presentations, and cross-team collaboration.

·         Leadership experience in mentoring engineers, managing complex projects, and establishing engineering processes.

·         TS/SCI security clearance required; CI Polygraph preferred.

·         Competitive base salary and performance-based incentives.

·         Comprehensive health, dental, and vision insurance.

·         Retirement savings plan with company match.

·         Flexible work arrangements with remote support.

·         Professional development opportunities in AI/ML, data engineering, and federal programs.

·         Paid vacation, holidays, and employee engagement programs.

·         Supportive, inclusive, and mission-driven work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1