Platform Architect (AI) is a AI Solutions Architect role (full-time). with Circle K Business Centre. in WARSAW, POLAND, PL. Imported listing (source: mindpal.co). Apply on the employer's site (mindpal.co).
Imported listing (source: mindpal.co) · Apply on mindpal.co
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Imported job description
Sourced from mindpal.co
Circle K Business Centre is seeking a Platform Architect (AI) to design, implement, and scale AI-driven platform architectures across the organization. The role involves translating business needs into production-ready AI/ML solutions, with an initial focus on a visual similarity search and vector retrieval system for automated store display compliance verification. You will own end-to-end architecture from POC to production, drive MLOps/LLMOps practices, and collaborate with AI Security to ensure secure, scalable, and compliant deployments.
Responsibilities
Design end-to-end architecture for AI/ML systems from POC to production
Select AI technologies, frameworks, and models
Ensure scalable, secure, cost-efficient, and regulation-compliant deployments
Integrate AI solutions with existing systems and data infrastructure
Make build-vs-buy decisions for AI capabilities with cost modeling and vendor lock-in risk analysis
Lead MLOps/LLMOps practices (retraining triggers, drift/quality monitoring, versioning, rollback) and collaborate with MLOps engineers
Mentor AI engineers on AI architecture patterns and best practices
Stay current on the AI landscape (foundation models, vector databases, agentic frameworks, RAG, fine-tuning) and assess applicability
Create and maintain technical documentation, architecture diagrams, and decision records
Circle K Business Centre is Circle K’s shared-services and business-services organization supporting Circle K operations across multiple countries. Its Riga centre provides finance, accounting, payroll, administrative, customer-support, IT, data and other business-process services, while the broader organization supports operations in 15 countries.
Act as technical liaison to AI Security on design-time controls (data flows, model endpoints, third-party integrations) including encryption and safeguards against adversarial inputs
Design and maintain the visual similarity search pipeline: product detection → parallel analysis (visual embedding, OCR, category classification) → hybrid query to the vector database → matching against the planogram
Choose specific models/components (e.g., RF-DETR vs alternatives, DINOv2 as the embedder) with trade-off evaluation (accuracy, cost, licensing, time-to-delivery)
Define category-specific query strategies (e.g., different signal weights by category)
Make hosting and cost decisions (self-hosted GPU on AWS vs managed services such as Roboflow Inference or Pinecone)
Oversee the API contract between the AI pipeline and the rest of the system (including low-confidence handling)
Set measurable quality thresholds with the Product Owner (precision/recall and acceptable false-positive rates)
Verify license compliance of chosen components (e.g., Apache vs AGPL-3.0)
Plan the improvement loop to feed approved field-verified image crops back into the index
Coordinate with AI Security on required controls and GDPR-relevant photo retention policies
Requirements
5+ years of software architecture experience, with at least 2–3 years focused on AI/ML systems
Strong understanding of machine learning fundamentals, deep learning, and modern NLP/LLM architectures
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services
Experience with MLOps tools (MLflow, Kubeflow, SageMaker) and CI/CD for ML pipelines
Proficiency in Python; familiarity with PyTorch, TensorFlow, and Hugging Face
Experience with vector databases, RAG pipelines, and agentic AI frameworks
Strong data architecture, API, and system integration skills
Excellent communication skills to explain complex technical concepts to non-technical stakeholders
Experience leading technical teams or mentoring engineers
