Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Lead definition of RF system requirements and architecture, interface with RF/antenna/transceiver and signal processing teams, perform modeling and analysis (MATLAB, Systems Toolkit, GRASP), produce MBSE-guided designs, mentor staff, and provide technical recommendations to program and executive leadership.

Build and deploy production-ready generative AI applications across rotating federal engagements. Responsibilities include developing RAG pipelines, conversational AI, and multi-agent systems; integrating LLMs and cloud services; implementing observability, security, cost controls, and responsible AI guardrails; troubleshooting integrations; training client teams; documenting solutions; and contributing reusable patterns to an AI solution catalog.

Leads end-to-end execution of a large, mission-critical program, managing resources, budgets, revenue, staffing, risks, customer engagement, and delivery objectives. Oversees a diverse technical and non-technical team, coordinates with engineering and Agile leadership, contributes to technology roadmaps, runs program status meetings, and supports sustainable growth through business development and vendor management.

Configure, integrate, secure, test, document, monitor, and maintain BeyondTrust Remote Support, Privileged Remote Access, and Password Safe solutions for a large USAF enterprise environment. Develop automation, troubleshoot systems and protocols, address audit findings, support compliance and upgrades, collaborate with technical teams and customers, and coach junior staff. The role requires active Secret clearance, DoD baseline certification, extensive BeyondTrust experience, and strong Windows, Active Directory, PowerShell, cloud, and security compliance knowledge.

Develop AI/ML algorithms and ETL infrastructure for LLM, NLP, and time-series solutions. Build scalable data pipelines, curate evaluation datasets, implement machine learning models, optimize data delivery, automate processes, and develop software using Agile methodologies. The role collaborates with researchers and developers and may involve cloud services, distributed computing, containerization, GenAI operations, reinforcement learning, and GPU-based algorithm implementation.

Develops AI/ML algorithms and ETL infrastructure supporting LLM, NLP, predictive analytics, and other customer solutions. Builds and maintains data pipelines, curates evaluation data, improves scalability and automation, and collaborates with researchers and developers using Agile methods. The role requires Python-based data engineering, machine learning experience, and an active TS/SCI clearance, with preferred experience in cloud, containers, distributed computing, reinforcement learning, GenAI operations, and GPU programming.

Serves as the primary liaison between cybersecurity teams and Department of the Air Force stakeholders. Coordinates risk assessments, incident response communications, policy implementation, cybersecurity awareness, regulatory compliance, threat intelligence, and performance reporting. Supports Active Directory security, OU design, Intune configuration, STIG implementation, vulnerability remediation, and security integration into projects. Requires extensive cybersecurity experience, DoD certification, and a TS/SCI clearance.

Integrates offensive and defensive cyber capabilities into ARSOF mission planning and operations. Conducts cyber intelligence analysis, target development, vulnerability assessments, cyber terrain analysis, and operational planning. Advises on cyber rules of engagement, authorities, network protection, COMSEC, and OPSEC. Coordinates with USCYBERCOM, joint cyber forces, national agencies, and mission partners while integrating compartmented capabilities and synchronizing cyber effects across multidomain operations.

Develop AI/ML and LLM solutions by building ETL pipelines, curating evaluation data, implementing machine learning algorithms, and improving scalable infrastructure. The role collaborates with researchers and developers, supports NLP and predictive analytics, applies Agile methodologies, and may lead interdisciplinary teams. Work includes data engineering, cloud and containerized deployment, GenAI operations, and algorithm implementation across varied customer missions.

Develop and implement AI/ML algorithms across computer vision, NLP, time series, reinforcement learning, graph data, and large language models. Analyze multimodal datasets, apply research findings, support training and deployment pipelines using AWS, create technical documentation, and mentor team members. The role requires Python and deep learning expertise, version control experience, and the ability to obtain a TS/SCI clearance.