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AI Solutions Architect, Part Time
T12 TechnologiesPart-time AI Solutions Architect designing scalable AI/ML architectures and automation solutions. T12 Technologies delivers technology, cybersecurity, managed, SaaS, and logistics solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable AI/ML solution architectures, with a strong focus on machine learning, deep learning, and NLP technologies. Proven ability to lead technical discovery sessions and mentor teams while ensuring compliance with data governance and security standards.
Highest-signal resume keywords
AI/ML ArchitectureMachine LearningDeep LearningCloud AI PlatformsPython Programming
ATS Keywords
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Hard Skills
AI/ML ArchitectureMachine LearningDeep LearningNatural Language ProcessingGenerative AIPython ProgrammingAPIsSystem IntegrationData GovernanceCompliance Standards
Soft Skills
Excellent CommunicationSelf-MotivatedMentorship
Tools & Technologies
AWSAzureGoogle CloudAI FrameworksAI Tools
Industry Keywords
AI IntegrationAutomationModel DevelopmentPerformance MonitoringTechnical Discovery
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Design and develop scalable AI/ML solution architectures aligned with business objectives
- Collaborate with stakeholders to identify opportunities for AI integration and automation
- Evaluate and recommend AI frameworks, tools, and platforms
- Lead technical discovery sessions and translate requirements into actionable AI roadmaps
- Oversee model development, deployment, and performance monitoring in production environments
- Ensure AI solutions adhere to data governance, security, and compliance standards
- Provide technical guidance and mentorship to development teams on AI/ML best practices
Requirements
What you’ll need- Proven experience as an AI/ML Architect, Solutions Architect, or similar senior technical role
- Strong proficiency in machine learning, deep learning, NLP, and generative AI technologies
- Hands-on experience with cloud AI platforms such as AWS, Azure, or Google Cloud
- Solid understanding of software architecture, APIs, and system integration patterns
- Experience with Python and relevant AI/ML libraries and frameworks
- Detailed knowledge of Anthropic and its implementation
- Excellent communication skills with the ability to present technical concepts to non-technical audiences
- Self-motivated and able to work independently in a part-time, flexible capacity
- Legally authorized to work in the US
Benefits
Comp & perks- Flexible schedule
- Opportunity for advancement
- Remote position
- Flexible, forward-thinking work environment
- Employee expertise valued and growth supported