Radiance Technologies, Inc.
Radiance is seeking a highly skilled **AI/ML Solutions Architect** to lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions supporting mission-critical government and national security programs. In this role, you will work closely with cross-functional teams including data scientists, software engineers, cloud architects, and mission stakeholders to translate complex operational requirements into scalable, secure, and high-performance AI/ML architectures.The ideal candidate combines technical depth with a strategic mindset, enabling them to architect and guide -end-to-end AI/ML solutions that operate in classified cloud environments (AWS C2S, Azure Government Secret). You will design, integrate, and optimize full-lifecycle ML pipelines, from data ingestion and model training to deployment and monitoring, ensuring all solutions meet DoD and Intelligence Community security and compliance standards.You will evaluate emerging technologies, develop technical roadmaps, and ensure deployed systems achieve long-term, reliability, scalability, and mission success. This role requires strong communication skills to convey complex technical concepts to
diverse audiences, the ability to integrate advanced AI/ML capabilities within secure environments, and a commitment to delivering solutions that adhere to federal security and compliance standards.**Experience:*** Bachelor’s Degree in Computer Science, Engineering, Physics, Statistics, Mathematics or a related field* Proven background working with structured and unstructured data, feature engineering, and model lifecycle management.* Experience collaborating with multidisciplinary technical teams and supporting customer-facing technical engagements.- 5+ years of professional experience in AI/ML engineering, data science, machine learning operations (MLOps), in cloud environments.- U.S. citizenship and ability to obtain/maintain TS/SCI security clearance- Demonstrated experience designing end-to-end AI/ML pipelines operating in classified environments (AWS C2S, Azure Government Secret)- Demonstrated experience architecting, implementing and operationalizing ML models and data pipelines in production environments across air-gapped and hybrid infrastructures.- Hands-on experience with at least one major cloud-based AI/ML platform ( Azure Machine Learning, AWS SageMaker, or Kubeflow on Kubernetes)* Deep understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and data processing tools (Spark, Pandas, Kafka).* Strong grasp of AI/ML architecture patterns, MLOps principles, including CI/CD for ML, model deployment, monitoring, and governance.* Expertise with cloud-native and container technologies: Kubernetes, Docker, serverless architectures, and understanding of cloud security and zero trust best practices.* Ability to translate mission needs into technical requirements and architect end-to-end AI/ML solutions.* Excellent written and verbal communication skills, with
proven ability to present complex AI/ML concepts to senior stakeholders- Proficiency in Python for AI/ML development; familiarity with languages such as Java, Go, or C++ is a plus.**Desired** **Skills:*** Active **TS/SCI** or higher clearance.* Professional certifications such as* AWS Certified Solutions Architect / **Machine Learning – Specialty*** Azure Solutions Architect / **Azure AI Engineer*** **CompTIA Security+**, **CISSP**, or equivalent.* Understanding of zero-trust architectures, secure data enclaves, and cross-domain solutions.* Experience with model interpretability, bias mitigation, and Responsible AI best practices- Experience with advanced ML domains, such as federated learning, reinforcement learning, LLM fine-tuning, vector databases, or retrieval-augmented generation (RAG).- Familiarity with DoD and Intelligence Community
data environments, including security constraints and RMF accreditation processes,.**Employee-Ownership****Our Culture**Radiance’s culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.**Our Values**Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources.Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity.We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long-term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security. #J-18808-Ljbffr
diverse audiences, the ability to integrate advanced AI/ML capabilities within secure environments, and a commitment to delivering solutions that adhere to federal security and compliance standards.**Experience:*** Bachelor’s Degree in Computer Science, Engineering, Physics, Statistics, Mathematics or a related field* Proven background working with structured and unstructured data, feature engineering, and model lifecycle management.* Experience collaborating with multidisciplinary technical teams and supporting customer-facing technical engagements.- 5+ years of professional experience in AI/ML engineering, data science, machine learning operations (MLOps), in cloud environments.- U.S. citizenship and ability to obtain/maintain TS/SCI security clearance- Demonstrated experience designing end-to-end AI/ML pipelines operating in classified environments (AWS C2S, Azure Government Secret)- Demonstrated experience architecting, implementing and operationalizing ML models and data pipelines in production environments across air-gapped and hybrid infrastructures.- Hands-on experience with at least one major cloud-based AI/ML platform ( Azure Machine Learning, AWS SageMaker, or Kubeflow on Kubernetes)* Deep understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and data processing tools (Spark, Pandas, Kafka).* Strong grasp of AI/ML architecture patterns, MLOps principles, including CI/CD for ML, model deployment, monitoring, and governance.* Expertise with cloud-native and container technologies: Kubernetes, Docker, serverless architectures, and understanding of cloud security and zero trust best practices.* Ability to translate mission needs into technical requirements and architect end-to-end AI/ML solutions.* Excellent written and verbal communication skills, with
proven ability to present complex AI/ML concepts to senior stakeholders- Proficiency in Python for AI/ML development; familiarity with languages such as Java, Go, or C++ is a plus.**Desired** **Skills:*** Active **TS/SCI** or higher clearance.* Professional certifications such as* AWS Certified Solutions Architect / **Machine Learning – Specialty*** Azure Solutions Architect / **Azure AI Engineer*** **CompTIA Security+**, **CISSP**, or equivalent.* Understanding of zero-trust architectures, secure data enclaves, and cross-domain solutions.* Experience with model interpretability, bias mitigation, and Responsible AI best practices- Experience with advanced ML domains, such as federated learning, reinforcement learning, LLM fine-tuning, vector databases, or retrieval-augmented generation (RAG).- Familiarity with DoD and Intelligence Community
data environments, including security constraints and RMF accreditation processes,.**Employee-Ownership****Our Culture**Radiance’s culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.**Our Values**Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources.Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity.We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long-term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security. #J-18808-Ljbffr