AI Architect jobs in United States
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MojoTech · 2 months ago

AI Architect

MojoTech is an innovative software development company that integrates strategy, design, data, and engineering to create results-driven, AI-enabled, digital products and experiences. The AI Architect role involves designing and leading the development of production-grade AI systems, ensuring scalability, reliability, and security for clients' AI investments.

Artificial Intelligence (AI)Information TechnologyMachine LearningMobile AppsProduct DesignSoftware Engineering
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Growth Opportunities

Responsibilities

AI Software Engineering: Lead the design and implementation of end-to-end AI systems for our clients. Take foundational models from existing platforms and fine-tune them with custom data, prompts, etc., to achieve specific outcomes
MLOps: Lead the implementation of best practices for deploying and serving various types of AI models. Provide expertise in MLOps practices, CI/CD pipelines, and infrastructure as code (IaC) to automate the deployment, versioning, and lifecycle management
Cloud-Native AI: Architect and deploy AI solutions on AWS and other major cloud platforms, with a hands-on emphasis on using cloud-native services for computation, storage, and networking
Programming Mastery: Utilize exceptional proficiency in Python and other relevant languages (e.g., Typescript, Java, Pyspark) to build high-performance, production-ready AI services and tools. Guide the selection and integration of appropriate AI frameworks (PyTorch, TensorFlow, Hugging Face) into the system architecture, focusing on their operational and scaling characteristics rather than just model development
Frameworks & Tools: Performance Tuning: Design and implement monitoring and alerting solutions (e.g., using Prometheus, Grafana) to evaluate model performance, data drift, and system health in production
Cost & Resource Management: Develop strategies for optimizing cloud resource utilization and managing the operational costs of AI infrastructure
Strategic Communication: Articulate complex AI architecture and technical strategies to both technical and non-technical stakeholders. Effectively explain the pros and cons of different LLMs, models, and AI approaches to clients and leadership to secure buy-in for proposed solutions
Technical Leadership: Lead and mentor a team of engineers, guiding architectural decisions, ensuring code quality through rigorous code reviews, and establishing best practices for development
Architectural Vision: Drive the architectural vision for AI products, translating business needs into a clear technical roadmap and ensuring the team's work aligns with long-term strategic goals

Qualification

AI system architectureMLOpsCloud-native AIPythonAPI designAI frameworksCost managementAnalytical skillsCommunication skillsTechnical leadership

Required

10+ years of experience in software engineering, with a significant recent focus on AI/ML system architecture
Deep hands-on experience in the core competencies listed above, including MLOps, cloud-native AI, and API design
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
Exceptional communication, presentation, and interpersonal skills, with the ability to influence and engage senior stakeholders
Familiarity with various AI/ML platforms, cloud environments (AWS, Azure, GCP), and data architectures
A demonstrated ability to self-motivate and to lead yourself and others
A desire to be part of a growing, and constantly evolving team

Benefits

Performance based end of year bonus
Medical, Dental, and Vision
401k match
Trust-based time off
Catered lunches when in office
Dog-Friendly Offices
Hybrid schedule

Company

MojoTech

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Software Development & Design for Innovative Companies

Funding

Current Stage
Growth Stage
Total Funding
unknown
2022-10-04Private Equity

Leadership Team

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Seth Mirick
CEO
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Bing Chou
VP Client Engagement
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Company data provided by crunchbase