Infrastructure Architect - Data & AI Platform Job at Leeds Building Society (Leeds)

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

AI (Infrastructure & Pipelines) Architect

As an AI Architect and reporting to Everseen's CTO, you will be responsible for ...

Location

Timișoara / Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

Strong knowledge of Machine Learning, Deep Learning
Generative AI & LLM Integration
Edge AI & Real-time Inference
Proficiency in Python, and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers
Experience with cloud platforms (Azure, GCP)
Understanding of data architecture, big data technologies, and model deployment
Strong understanding of ML training pipelines, data lifecycle, and model serving concepts
Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG)
Experience with MLOps and AI governance frameworks
Familiarity with ethical AI practices and data privacy regulations

Job Responsibility

Systems & Infrastructure: Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies
Performance & Monitoring Standardisation: Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place
Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements
Integration: Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services
Leadership: Provide technical guidance and mentorship to cross-functional teams

Fulltime

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

AI Architect

As an AI Architect, you will design, develop, and implement innovative and scala...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
8+ years of experience in AI/ML solution design and architecture
Hands-on experience with Python, SQL, and frameworks like TensorFlow, PyTorch, and Hugging Face
Proven expertise in cloud platforms (AWS, Azure, GCP) and MLOps practices
Demonstrated ability to scale AI models into production environments
Strong problem-solving and analytical skills with a focus on business impact
Excellent communication and collaboration abilities
In-depth knowledge of AI/GenAI deployment techniques and advanced architectures
Fluent proficiency in both English and Polish

Job Responsibility

Architect scalable AI frameworks, ensuring seamless integration into enterprise systems
Oversee the development and deployment of AI solutions, with a focus on optimizing performance, scalability, and operational efficiency
Lead the design and execution of proofs of concept (PoCs) and pilot implementations to validate AI applications
Manage the transition of AI models from development to production, ensuring reliability, retraining cycles, and operational excellence
Implement best practices for infrastructure, including containerized deployments (e.g., Kubernetes, Docker), microservices and serverless architectures
Work with advanced tools, including vector databases, cloud-native AI platforms (AWS, Azure, GCP), and retrieval-augmented generation (RAG) architectures for enterprise LLM workflows
Stay ahead of emerging trends to ensure the adoption of the most effective tools and frameworks
Collaborate with data scientists, engineers, and business stakeholders to align AI strategies with organizational objectives
Translate business needs into technical specifications and scalable architectures
Oversee model performance monitoring and establish evaluation frameworks to identify areas for improvement

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

Principal AI Architect

We are seeking an experienced AI Architect to lead the design, implementation, a...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

12+ years of experience in data science, ML engineering and AI system architecture
Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, spaCy and related AI/ML frameworks
Expertise in MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker
Proficiency in data processing technologies (Spark, Kafka, Airflow) and data modeling
Strong background in deploying models such as APIs or services using Docker, Kubernetes, and REST/gRPC
Experience designing data pipelines and integrating AI with production systems
Should have an understanding of prompt engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate)
Knowledge of cloud AI services (AWS, GCP, Azure) and distributed computing architectures
Proven experience implementing observability for models (drift, accuracy, bias, and performance)

Job Responsibility

Architect and oversee AI/ML pipelines covering data collection, preparation, training, validation, and inference
Define and implement scalable AI infrastructure for training, deployment, and continuous integration (MLOps)
Collaborate with data scientists, ML engineers, product manager, and product teams to translate business problems into AI-driven solutions
Establish frameworks for model governance, versioning, reproducibility, and explainability
Integrate models into production systems ensuring low latency, scalability, and reliability
Define data strategy, storage, and access patterns to support AI workloads
Build solutions to monitor model performance, drift, and data quality, implementing continuous retraining strategies
Ensure compliance with ethical AI, data privacy, and security best practices
Mentor AI/ML engineers and contribute to architectural decisions across the AI platform stack

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Data Solution Architect

At ANS, the Data Solution Architect is pivotal in shaping and delivering end-to-...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Deep expertise in Big Data architecture and design, with significant experience delivering enterprise-scale solutions
Design and implementation experience with at least three of the following: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks
Microsoft Fabric knowledge, including architecture design and integration with existing data ecosystems
Data catalogue, modelling, warehousing, and analytics experience across multiple platforms
Proven understanding of security and governance, including cloud infrastructure, compliance frameworks, and data protection principles
Strong presentation and visualisation skills using a variety of customer facing tools to present diagrams and designs
Cloud proficiency with Azure, including Infrastructure as Code (IaC) and services across IaaS, SaaS, and PaaS
Knowledge of Well-Architected Frameworks, security principles, and Agile/Waterfall project lifecycles
Database expertise in SQL and NoSQL technologies

Job Responsibility

Act as a trusted advisor, guiding customers and internal teams through complex architectural decisions with a focus on business value, scalability, and technical excellence
Design and document end-to-end data solutions clearly and accurately for internal and customer use, ensuring alignment with ANS standards and best practices
Collaborate with Project Managers and stakeholders to align on delivery timelines, report progress, and manage risks, while acting as a key point of contact for customer SMEs and technical teams to clarify requirements and solution design
Contribute to discovery and planning, identifying areas such as governance, security, maturity, adoption, and functional/non-functional requirements, and provide actionable recommendations
Educate and enable customers and internal teams, building knowledge of enterprise data platforms, architectural patterns, and best practices
Engage in continuous learning through certifications (e.g., DP-600, DP-700, AI-900, AI-102) and development days to stay current with emerging technologies and industry trends
Participate in the Data Architecture Guild, sharing knowledge, influencing standards, and helping shape architectural practices across ANS
Ensure information security and compliance are embedded in all designs, adhering to business policies and procedures

What we offer

25 days’ holiday, plus you can buy up to 5 more days
Birthday off
An extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance
Flexible working and work from anywhere for up to 30 days per year (some exceptions)
Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
Company social events

Infrastructure Architect - Data & AI Platform

Leeds Building Society

Location:
United Kingdom , Leeds

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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