We Love AI JobsLead AI Platform Architect (MLOps & GenAI)
Predactica™Join Predactica™ as a Lead AI Platform Architect, where you'll design and implement cutting-edge enterprise-grade AI systems. Collaborate across teams and guide others while directly impacting AI solutions that are secure and scalable, all within a contract role.
Skills & Expertise
Key Responsibilities
Architect and implement end-to-end AI platforms for data and model deployment.
Lead the setup of AI systems, including model training and monitoring.
Define best practices and design standards for AI architectures across teams.
Full Description
Job Summary
We are seeking an experienced AI Architect to design, build, and scale enterprise-grade AI systems and platforms. The ideal candidate has successfully set up multiple AI systems end-to-end, translating business needs into robust AI architectures that are secure, scalable, and production-ready. This role bridges strategy, architecture, and hands-on implementation across data, infrastructure, and machine learning components.
Key Responsibilities
* Architect, design, and implement end-to-end AI platforms, from data ingestion through model deployment and monitoring
* Lead the setup of multiple AI systems, including model training pipelines, inference services, and MLOps frameworks
* Define AI reference architectures, best practices, and design standards across teams
* Partner with business stakeholders to translate use cases into technical AI solutions
* Select and integrate AI/ML tools, frameworks, and cloud services (e.g., model hosting, feature stores, vector databases)
* Establish scalable and secure MLOps practices, including CI/CD for models, versioning, monitoring, and retraining
* Guide teams on responsible AI, governance, explainability, and compliance requirements
* Evaluate emerging AI technologies and recommend platform improvements or innovations
* Provide technical leadership and mentorship to data scientists, ML engineers, and developers
Required Skills & Experience
* Proven experience as an AI Architect, ML Architect, or similar role
* Demonstrated success setting up multiple AI systems or platforms in production environments
* Strong understanding of:
* Machine learning and deep learning architectures
* Data pipelines, feature engineering, and model lifecycle management
* Cloud-native AI services and containerized deployments
* Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
* Experience designing APIs and services for model inference
* Solid grasp of security, scalability, and performance considerations for AI systems
* Ability to communicate complex technical concepts to non-technical stakeholders
Preferred Qualifications
* Experience with generative AI, LLMs, or retrieval-augmented generation (RAG) architectures
* Prior ownership of enterprise AI platforms or centers of excellence
* Familiarity with data governance, model risk management, and AI compliance standards
* Background in regulated industries (e.g., telecom, finance, healthcare, public sector)
* Cloud certifications or advanced degrees in Computer Science, AI, or related fields