qode.world · 16 hours ago
AI Architect
Florida, Florida, United States
Full-time
Hybrid
Senior Level
7+ years expqode.world is seeking an experienced AI Architect to design and govern end-to-end AI and ML architectures across a variety of enterprise use cases. The ideal candidate will operate as a strategic technical leader, defining AI solution blueprints on Azure and AWS and ensuring scalable, secure, and compliant AI systems across products and teams.
Artificial Intelligence (AI)Human ResourcesInformation Technology
Responsibilities
Define and own end-to-end AI architecture for multiple enterprise use cases, including data flows, model lifecycle, and serving patterns across Azure and AWS
Design AI/ML solution blueprints covering data ingestion, feature stores, training pipelines, model registry, deployment, monitoring, retraining, and decommissioning
Establish and standardize MLOps frameworks (MLflow/Kubeflow/Airflow, Docker, Kubernetes) and reference implementations that AI/ML engineers and data scientists can reuse across teams
Collaborate with product, data, and business stakeholders to identify AI opportunities, shape solution options, and align AI architectures with business and non-functional requirements (scalability, reliability, cost, latency)
Define and enforce governance for model approval, explainability, versioning, drift monitoring, and compliance with data privacy and regulatory requirements relevant to the organization
Guide the selection and integration of cloud-native services (Azure ML, AWS SageMaker, Lambda, EC2, S3, Azure Functions, API gateways, monitoring stacks) into cohesive AI platforms
Work closely with security, compliance, data, and enterprise architecture teams to ensure AI solutions meet standards for security, resilience, observability, and cost optimisation
Provide technical leadership and mentoring to AI engineers, ML engineers, and data scientists on best practices in AI architecture, MLOps, and cloud-native design
Create and maintain architectural artefacts: high-level designs, detailed solution diagrams, standards, and documentation for AI platforms and reference solutions
Qualification
Required
Proven experience designing and leading AI/ML solution architectures in production across multiple projects or products
Ability to translate business use cases into architectural blueprints, roadmaps, and reusable platform components
Strong understanding of ML techniques (supervised, unsupervised, basic deep learning) and their productionisation for real-world use cases
Hands-on experience defining MLOps strategies using MLflow, Kubeflow, Airflow, Docker, and Kubernetes for large-scale deployments
Expert knowledge of Azure ML and AWS SageMaker, plus core services (S3, EC2, Lambda, Azure Functions, identity, networking, monitoring)
Experience designing multi-environment (dev/test/prod) AI platforms with robust CI/CD, model promotion, and rollback strategies
Understanding of data privacy, security, and responsible AI principles (fairness, transparency, explainability, auditability)
Experience defining policies and controls for model governance and risk management
Strong Python skills and familiarity with common ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
Solid grounding in CI/CD (GitHub Actions, Azure DevOps, AWS CodePipeline) and monitoring/logging solutions (Prometheus, Grafana, or cloud-native equivalents)
7–10 years overall experience (minimum 5+ years in AI/ML, with strong MLOps and cloud experience)
Preferred
Prior experience as an AI Architect, ML Architect, or AI Solutions Architect in an enterprise environment
Certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, or equivalent architecture credentials
Exposure to generative AI and LLM architectures, including RAG, orchestration frameworks, and fine-tuning strategies
A demonstrated track record of leading cross-functional AI initiatives from concept through architecture, implementation, and scaling
Benefits
Health insurance
Paid time off
Professional development opportunities
Company
qode.world
SaaS, AI Agent in Recruitment, HR Tech
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase