Top Tech Jobs & Startup Jobs

The AI Solutions Architect designs AI solutions, mentors team members, and ensures ethical compliance while addressing complex business problems using advanced technology and industry knowledge.

Perform data integration, exploratory analysis, and machine learning to produce predictive models and visualizations for an intelligence community customer. Build ETL pipelines, leverage APIs and geospatial data, and deliver dashboards or lightweight web apps while communicating findings to varied technical audiences.

Design, develop, and modernize ground‑system and real‑time software for space missions. Build microservice-based solutions, migrate legacy apps, implement cloud and containerized deployments, and collaborate cross-functionally to improve performance, resilience, and operational speed for mission-critical GEOINT and space operations.

As a Data Scientist, you will analyze data, develop algorithms, and utilize IoT and machine learning to solve complex problems for clients.

Design, build, and maintain BI dashboards and UIs to visualize structured and unstructured data. Perform data exploration, cleaning, analysis, and create modular, user-centric visualizations. Communicate insights to technical and non-technical stakeholders and support clients' decision-making. Support security clearance eligibility processes.

Designs and implements AI solution architecture, mentors team members, and develops innovative solutions to complex business challenges.

Support and maintain secure DoD cloud infrastructure using AWS, Linux, Windows, and automation tooling. Deploy and optimize containerized applications with DevOps practices, collaborate with cloud architects, and meet DoD security and certification requirements.

As a Solution Architect, you'll design enterprise architectures, lead workshops, integrate security frameworks, and mentor engineers, focusing on national security technology challenges.

Design, build, and deploy production-grade AI/ML systems (including LLMs and agents) for Defense and Intelligence clients. Work on model training, MLOps, cloud deployments, observation/monitoring, and scalable service-based architectures while meeting security clearance requirements.

Design, develop, and deploy production AI applications using LLMs, RAG, embeddings, and agentic workflows. Build modular prompting, retrieval, orchestration, and evaluation components; develop data pipelines; optimize for latency, cost, reliability, and safety; implement observability, guardrails, and CI/CD; deploy securely on AWS using Docker/Kubernetes/serverless; collaborate with cross-functional teams and present technical solutions to stakeholders.