Chief Architect/Technical Lead

Job Posting Title

Chief Architect – Agentic AI for EM/RF and Technical Intelligence

Job Description Position Summary

The Chief Architect will provide technical leadership for the development and integration of Agentic AI, machine-learning, data-engineering, software, and analytic tools and capabilities supporting electromagnetic spectrum and radio-frequency intelligence missions. This position will establish technical vision and architecture, translate mission requirements into executable engineering plans, and coordinate technical work across a distributed team operating in classified

and unclassified environments. The Chief Architect will serve as the program’s senior technical authority, ensuring architectural coherence, engineering quality, system integration, technical risk management, and successful delivery of secure, reliable, and mission-relevant capabilities.

Job Description Primary Responsibilities

· Demonstrate integrity, excellence, drive, and trustworthiness in all responsibilities, taking ownership, and delivering high-quality results.

· Serve as the program’s senior technical authority, establishing the technical vision, system architecture, engineering strategy, development standards, and technical roadmap for Agentic AI-enabled electromagnetic spectrum and RF analysis capabilities.

· Translate customer mission requirements into executable technical capabilities, including software functions, data pipelines, analytical workflows, AI agents, models, interfaces, infrastructure, and integration requirements.

· Coordinate technical execution across software engineering, data engineering, AI engineering, analytical workflow, infrastructure, and integration teams operating across multiple geographic locations and security environments.

· Develop and maintain the integrated technical roadmap and schedule, defining engineering milestones, release objectives, technical dependencies, work packages, backlog priorities, and acceptance criteria.

· Supervise and ensure architectural coherence across classified and unclassified environments, ensuring that software components, data services, AI capabilities, analytical workflows, interfaces, and deployment environments operate as an integrated technical baseline.

· Assess the technical feasibility of proposed requirements and customer requests, identifying implementation options, assumptions, constraints, resource requirements, dependencies, and technical tradeoffs for consideration by the Program Manager and customer.

· Lead technical integration and engineering reviews, including architecture reviews, design reviews, code and repository reviews, model evaluations, interface reviews, test-readiness reviews, and release-readiness assessments.

· Evaluating, integrating, and deploying production AI/ML or LLM-enabled systems using Python, modern ML and LLM frameworks.

· Establish and enforce technical quality standards, including expectations for software quality, testing, cybersecurity, data provenance, model performance, reproducibility, documentation, configuration management, and maintainability.

· Identify and mitigate technical risks and issues, including risks related to data availability, model performance, system integration, infrastructure capacity, classified development constraints, cybersecurity, technical debt, and engineering staffing.

· Provide technical leadership and mentorship to the engineering team, resolving cross-disciplinary technical disagreements, assigning clear technical ownership, developing

engineering talent, and communicating technical status, limitations, and recommendations to program and customer leadership.

· Communicate technical and architectural details to technical and non-technical stakeholders

Job Description Required Qualifications

· U.S. Citizen.

· Active TS/SCI w/ CI Poly

· Minimum 8 years of related experience, 2+ years of leading technical teams, architectures, code reviews, or production software delivery

· BS in CS, software, computer engineering, or related technical field.

o Experience in Lieu of Education: No degree: 12+ years of directly relevant experience and 2+ years of technical leadership; Associate’s degree: 10+ years of directly relevant experience and 2+ years of technical leadership

· Experience delivering production software in classified environments

· Experience with containers, Docker and/or Kubernetes, Linux

· Experience programming with Python is required

· Strong written and verbal communication skills

· Ability to work independently and in a team environment.

Preferred Qualifications

· MS in CS, software, computer engineering, or related technical field

· Experience using MATLAB or similar tools to do signal analysis

· Experience with GPU inferencing and workloads

· Experience developing software tools in multi-disciplinary teams.

· Experience applying AI to technical intelligence, EM/RF, radar, missile, scientific, or physics-based analysis in classified environments.

· Security+ or another DoD 8570/8140-aligned certification