- Company Name
- Tundra Technical Solutions
- Job Title
- AI Platform Architect
- Job Description
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Job title: AI Platform Architect
Role Summary:
Architects and implements scalable AI and machine learning solutions that align with enterprise architecture and business strategy. Leads innovation in generative AI, large language models, MLOps, and AI operationalisation across cloud and on‑premises environments.
Expactations:
- Deliver end‑to‑end AI system design, from data pipeline to model deployment and monitoring, ensuring performance, security, and compliance.
- Develop strategic roadmaps and governance frameworks that embed AI into the global enterprise architecture.
- Drive cross‑functional collaboration, translating business requirements into technical prototypes and production‑ready solutions.
- Act as the technical steward for risk, cost, and integration decisions across AI initiatives.
Key Responsibilities:
- Design AI architectures, including data ingestion, preprocessing, model training, deployment, and monitoring.
- Enhance the AAA platform to support ML, GenAI, LLM, MLOps, and LLMOps initiatives.
- Conduct code reviews, enforce best practices, and maintain CI/CD pipelines.
- Prototype proof‑of‑concepts, evaluate tool stacks, and recommend solutions.
- Align AI projects with enterprise architecture and governance, collaborating with Enterprise Architects.
- Lead risk and cost analysis, build‑vs‑buy assessments, and technology integration strategies.
- Advocate the AI vision, create architecture principles, and guide stakeholders.
Required Skills:
- Deep knowledge of AI/ML algorithms, NLP, computer vision, and deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud AI services (Azure Machine Learning, GCP AI Platform) and data platforms (Databricks, MongoDB).
- Proficient in Python or R; familiarity with big data tools (Spark, Hadoop).
- Containerization (Docker) and orchestration (Kubernetes, AKS) expertise.
- DevOps mindset: CI/CD pipelines, automation, and monitoring.
- Strong communication and stakeholder‑management skills.
Required Education & Certifications:
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred).
- Azure certification (highly preferred); certifications in GCP or AWS (Solutions Architect or Developer) advantageous.
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