ITDS

Senior AI Solutions Architect – Financial Services Architecture

27.3k - 34.7k PLN27 300 - 34 650 PLN/ mies./ mies.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#462335·Dodano 14 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

AI/ML ArchitectureCloud Platforms (AWS, Azure)MLOpsMachine Learning Frameworks (TensorFlow, PyTorch)Big Data Technologies (Spark, Kafka, Hadoop)Containerization (Docker, Kubernetes)CI/CD pipelinesData Governance and SecurityMicroservices architectureFinancial Services Compliance

Podsumowanie oferty

Design scalable, secure AI architectures for a financial institution, supporting advanced analytics, predictive modeling, and intelligent automation across banking operations. Work with data engineers, AI scientists, and business stakeholders to integrate AI solutions into enterprise infrastructure and align technology with business strategy.

Wymagania

You're ideal for this role if you have:

At least 5 years of experience in software or data engineering, including 3+ years in AI/ML architecture.
Proven track record of designing enterprise-scale AI systems using cloud platforms (AWS, Azure).
Strong understanding of MLOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
Experience with big data technologies (Spark, Kafka, Hadoop) and modern data lake architectures.
Deep knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
Understanding of data governance, security, and compliance in financial institutions.
Ability to translate business objectives into technical architecture and implementation plans.
Familiarity with API design, microservices, and event-driven systems.
Excellent communication and stakeholder management skills.
Fluency in Polish and English (spoken and written).

Obowiązki

Your main responsibilities:

Design and implement end-to-end AI solution architectures across data, model, and infrastructure layers.
Collaborate with cross-functional teams to define technical requirements and ensure system scalability.
Evaluate and select AI frameworks, tools, and cloud platforms suited to business needs.
Oversee model integration, deployment, and lifecycle management in production environments.
Ensure compliance with security, data governance, and regulatory standards.
Support data and MLOps teams in building robust data pipelines and CI/CD processes for AI.
Provide technical leadership in AI solution design, proof-of-concepts, and technology assessments.
Develop architecture blueprints, documentation, and best practices for AI initiatives.
Identify opportunities to optimize performance and reduce operational costs through automation.
Guide and mentor engineering teams in AI system design and implementation.

Inne informacje

Only candidates with an existing legal right to work in the European Union will be considered.

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