AI Software Architect

6cf0ae78-e3da-423d-b8c6-3526ff72a5a3; Virginia; On-site; USD 150,000 - 210,000; Full time

Job summary

Strategic Resources, Inc. (SRI) is seeking an AI Software Architect to lead the design, development, integration, and governance of AI/ML solutions for federal, military, and commercial programs in Virginia.

You will set enterprise AI architecture standards and guide diverse teams to deliver scalable, secure AI-enabled applications. The role focuses on overseeing cloud deployments, ensuring regulatory compliance, and developing technical roadmaps for AI modernization while mentoring engineers

Qualifications

• Bachelor's degree in Computer Science or related field.
• 10+ years in software engineering, system architecture, or enterprise design.
• 5+ years designing AI/ML solutions in enterprise environments.
• Experience deploying cloud-native apps on Azure, AWS, or Google Cloud.
• Strong knowledge of AI tech including ML, NLP, GenAI, LLMs.

Responsibilities

• Design and maintain enterprise AI architecture frameworks.
• Lead development and integration of AI, ML, GenAI, and LLMs.
• Define system architecture, standards, and best practices.
• Evaluate emerging AI technologies to improve operations and mission outcomes.
• Collaborate across software, data, cybersecurity, and stakeholders.
• Establish governance for AI model development, deployment, monitoring.
• Ensure AI systems meet security, privacy, and regulatory standards.
• Develop roadmaps and strategies for AI modernization.
• Conduct architecture and code reviews for quality and performance.
• Oversee cloud deployments on Azure, AWS, or Google Cloud.
• Mentor engineers, architects, and data scientists.
• Support proposal efforts with technical diagrams and cost estimates.
• Coordinate with Government stakeholders on AI strategy and plans.

Skills

AI/ML systems

Python

Java

C#

JavaScript

TensorFlow

PyTorch

Azure AI Services

Azure OpenAI

Docker

Kubernetes

AWS

Google Cloud

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field

Master's degree (preferred) in Computer Science/AI

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Azure AI Services

Azure OpenAI

AWS

Google Cloud

Job description

AI Software Architect

Strategic Resources, Inc. (SRI) is an international, ISO 9001/20000/27001 Certified, CMMI Maturity Level 3 Rated full-service provider with more than 38 years of experience in the Federal, military, and commercial marketplaces.

Overview:

Responsible for leading the design, development, integration, and governance of Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting federal, military, and commercial initiatives. The AI Software Architect provides technical leadership for enterprise AI systems, ensuring scalable, secure, and compliant architectures that align with organizational objectives and customer requirements. This role collaborates with program managers, engineers, developers, data scientists, cybersecurity personnel, and government stakeholders to deliver innovative AI-driven capabilities while maintaining adherence to federal security and regulatory standards.

Tasks and Responsibilities:

• Design and maintain enterprise AI architecture frameworks that support strategic business and mission objectives.


• Lead the development and integration of AI, Machine Learning, Generative AI, and Large Language Model (LLM) solutions.


• Define system architecture, technical standards, development methodologies, and best practices for AI-enabled applications.


• Evaluate emerging AI technologies and recommend solutions that improve operational efficiency, mission effectiveness, and business outcomes.


• Collaborate with software developers, data engineers, cybersecurity teams, and project stakeholders throughout the system development lifecycle.


• Establish governance processes for AI model development, deployment, monitoring, and continuous improvement.


• Ensure AI systems comply with applicable security, privacy, ethical AI, and regulatory requirements.


• Develop technical roadmaps and implementation strategies for AI modernization initiatives.


• Conduct architecture reviews, code reviews, and technical assessments to ensure solution quality and performance.


• Oversee cloud-based AI deployments utilizing platforms such as Microsoft Azure, AWS, or Google Cloud.


• Provide technical guidance and mentoring to software engineers, architects, and data science personnel.


• Support proposal development efforts by providing technical solutions, architecture diagrams, and cost estimates.


• Coordinate with Government stakeholders and customer leadership regarding AI strategy, architecture decisions, and implementation plans.


• Identify technical risks and develop mitigation strategies to ensure successful project execution.


• Prepare and deliver technical briefings, documentation, and architecture artifacts to leadership and customers.

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field.


• Minimum of ten (10) years of experience in software engineering, system architecture, or enterprise solution design.


• Minimum of five (5) years of experience designing and implementing AI/ML solutions in enterprise environments.


• Experience architecting and deploying cloud-native applications in Azure, AWS, or Google Cloud environments.


• Strong understanding of AI technologies including Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, and Large Language Models.


• Experience with modern programming languages such as Python, Java, C#, or JavaScript.


• Experience with AI frameworks and tools such as TensorFlow, PyTorch, Azure AI Services, Azure OpenAI, or equivalent technologies.


• Knowledge of API design, microservices architecture, containerization, and orchestration technologies such as Docker and Kubernetes.


• Understanding of cybersecurity principles and secure software development practices.


• Ability to communicate complex technical concepts to both technical and non-technical audiences.


• Strong analytical, problem-solving, and organizational skills.


• Ability to obtain and maintain a favorable criminal background check and security investigation.


• Proficient in English, both written and oral.


• Proficient in Microsoft Office software applications including Word, Excel, PowerPoint, Outlook, and collaboration platforms.

Preferred Qualifications:

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.


• Experience supporting Department of Defense (DoD), Federal Civilian, or Intelligence Community programs.

• Professional certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate, AWS Certified Solutions Architect, TOGAF, or similar credentials.


• Experience with CMMC, NIST 800-53, RMF, FedRAMP, or other federal cybersecurity frameworks.


• Active Secret or Top Secret security clearance.


• Familiarity with Agile, DevSecOps, and MLOps practices.

Equal Employment Opportunity:

In order to provide equal employment and advancement opportunities to all individuals, employment decisions will be based on merit, qualifications, and abilities. SRI does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, genetic information, or any other characteristic protected by law (referred to as "protected status"). This nondiscrimination policy extends to all terms, conditions, and privileges of employment as well as the use of all company facilities, participation in all company-sponsored activities, and all employment actions such as promotions, compensation, benefits, and termination of employment.

This job description is intended to outline the general nature and level of work being performed. It is not intended to be a comprehensive list of all responsibilities, duties and skills required of the position. Additional tasks may be assigned as needed.