Top Tech Jobs & Startup Jobs

Design and implement innovative AI solution architectures addressing client business needs. Integrate complex software applications and platforms while applying AI, machine learning, DevSecOps, microservices, and ethical AI principles. Conduct independent technical research, solve highly complex problems, communicate technical concepts clearly, and mentor or lead technical teams. The role requires extensive IT architecture, software development, AI engineering, and clearance eligibility experience.

Develop, integrate, test, and enhance software solutions supporting cyber, training, modeling and simulation, and emerging technology initiatives. Build applications using Java, Python, C++, C#, JavaScript, and React while applying software engineering principles, data structures, algorithms, databases, operating systems, and networking knowledge. Collaborate with technical teams and contribute to mission-focused technology projects.

Performs quantitative analysis, data integration, exploratory analysis, visualization, and machine learning to uncover insights from complex datasets supporting intelligence community missions. Uses Python and SQL to process data, develop predictive models, and communicate findings to technical and nontechnical stakeholders. Requires a TS/SCI clearance and bachelor's degree, with preferred experience in Spark, JEMA, web development, cloud services, ETL, geospatial data, and dashboards.

Perform advanced data exploration and research applying AI/ML to security-focused problems. Develop and implement variational inference and novel models in PyTorch/TensorFlow/Numpy, build and use MLOps pipelines, guide teams, publish/present results, and translate theory into production-ready solutions.

Build, deploy, and maintain scalable data pipelines and platforms for mission-driven projects. Validate and normalize datasets, develop schemas, implement ETL workflows, and create monitoring dashboards and metrics. Collaborate with AI/ML engineers, cloud architects, and technical leaders to support governed, high-quality data flows and reliable model performance. Improve pipeline performance and support data engineering for operational, research, and enterprise systems.

Build, test, deploy, and operate secure, scalable AI/ML pipelines for national security missions. Develop reproducible workflows, automate operations, integrate LLMs and agentic capabilities, and deploy solutions across hybrid environments. Collaborate with AI engineers, data engineers, cloud architects, and security professionals to optimize data flow, monitoring, observability, infrastructure integration, and mission resilience.

Create high-fidelity 3D assets, environments, models, visual graphics, UI elements, materials, lighting, and VFX for immersive applications, digital twins, simulations, and mission-driven training scenarios. Collaborate with multidisciplinary teams across multiple Agile projects and explore augmented, virtual, and mixed reality technologies using industry-standard 3D and real-time tools.

Develop and maintain Android-focused cyber operations solutions, integrating research artifacts, and contributing to server-side infrastructure as part of a cross-platform team.

Develop and operationalize a cloud accreditation program for a SaaS offering, including security baselines, policies, SRGs, SSPs, evidence requests, and assessment templates. Perform security control assessments, document findings, analyze residual risk, prepare risk reports, and present results to clients. Lead continuous monitoring and annual reassessments, recommending tools and capabilities for on-premises, cloud, and hybrid environments within the RMF.

Build and maintain scalable data pipelines and platforms using SQL, Java, or Python. Acquire, tag, integrate, and process structured, semi-structured, and unstructured data. Apply machine learning models for classification, use BigID and AWS, and collaborate with analysts, engineers, developers, and data consumers in an agile environment. Guide analytical exploration, data examination, platform design, deployment, and maintenance for mission-driven client projects.