Cloud Solution Architect - Data & AI Job at Microsoft Corporation (Schiphol)

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

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
Experience participating in solution configurations and the creation of PoCs to meet customer requirements
Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
Demonstrates expert technical skills in assigned area of specialization
Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
Expert level written and verbal communication skills and mastery over English and local language

Job Responsibility

Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends
Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
Architect reusable end-to-end AI solutions for HPE customers and prospects
Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions
Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
Recommend configurations and settings for different types of hardware and interconnect fabrics
Assist in any product or technical issue towards an initial sale or renewal of a customer

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Solution Architect for distributed AI Systems

In this role as Solution Architect, you will be at the forefront of our digital ...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

7+ years of experience in a solution architecture or technical lead role, with a strong focus on artificial intelligence, workflow orchestration and cloud platforms
Proven experience in designing and deploying large-scale AI powered products, strong understanding of modern AI concepts, retrieval-augmented generation (RAG) and agentic workflows
Experience in a cloud-native environment (Azure/GCP/AWS), event-driven architectures and hands-on experience in usage of LLMs, vector databases and API/MCP integrations
Demonstrated ability in stakeholder-facing roles, articulating complex technical concepts to non-technical audiences, and driving the strategic vision for AI adoption
Fluent English and Polish

Job Responsibility

Playing a pivotal role in AI transformation initiatives and focusing on the integration of AI & Agentic capabilities
Being responsible for delivering end-to-end solutions, from conceptualization and strategic design to proof-of-concept development, deployment and ongoing performance optimization
Collaborating closely with cross-functional teams (including data scientists, engineers, product managers, and business leaders) to translate business requirements into robust, scalable, and ethical AI architectures
Introducing cutting-edge AI frameworks, agentic design patterns and best practices, while guiding the organization on the responsible adoption of emerging AI technologies

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
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
Number of benefits for families (for instance summer camps for kids)

Fulltime

AI Solutions Architect

Strategic AI Architecture & Innovation; Project Leadership & Execution; Technica...

Location

Qatar , Doha

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

Bachelor’s in computer science, Software Engineering, or related
10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries
Demonstrated success in managing and aligning diverse stakeholders
Communication: Articulate technical concepts—architecture diagrams, code quality metrics—to both technical and non technical audiences
Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement
Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution
Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices
Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP)
Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments
Fluent in both Arabic and English

Job Responsibility

Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges
Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact
Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements
End-to-End Management: Oversee the full lifecycle of AI projects—from initial scoping and conceptualization to deployment and post-implementation support—ensuring timely delivery and budget adherence
Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines
Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution
Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients
Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards
Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes
Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages

Data & AI Architect

We are seeking a highly skilled and experienced Data & AI Architect to join our ...

Location

United States

Salary:

130000.00 - 170000.00 USD / Year

MojoTech

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus
Exceptional Python programming skills for data engineering and automation
Experience with Databricks or Apache Spark for big data processing
Experience with at least one major cloud ML platform, eg AWS Sagemaker
Advanced SQL capabilities for data manipulation, querying, and optimization
Proven experience with workflow orchestration tools (e.g., Airflow, AWS Step Functions)
Solid understanding of data modeling principles and pipeline design patterns
Familiarity with modern DevOps practices and CI/CD for data solutions
Excellent problem-solving skills and the ability to translate complex technical concepts into clear explanations for non-technical audiences

Job Responsibility

Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases
Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products
Ensure data quality, reliability, and security throughout the data lifecycle
Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions
Implement CI/CD pipelines and integrate data solutions into broader DevOps practices
Provide technical leadership and mentorship within project teams

What we offer

Medical, Dental, FSA
401k with 4% match
Trust-based time off
Catered lunches when in office
5 hours a week of self-directed, non-client work
Dog Friendly Offices
Paid conference attendance/yearly education stipend
6 weeks parental leave

Fulltime

Data Architect - Enterprise Data & AI Solutions

We are looking for a visionary Data Architect who can translate enterprise data ...

Location

India , Chennai; Madurai; Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong background in RDBMS design, data modeling, and schema optimization
Advanced SQL skills, including performance tuning and analytics functions
Proven expertise in data warehouses, data lakes, and lakehouse architectures
Proficiency in ETL/ELT tools (Informatica, Talend, dbt, Glue)
Hands-on with cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake)
Familiarity with GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI)
Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark)
Strong communication skills with the ability to present data insights to executives
8+ years in data architecture, enterprise data strategy, or modernization programs
Hands-on with AI-driven analytics and GenAI adoption

Job Responsibility

Design scalable data models, warehouses, lakes, and lakehouse solutions
Build data pipelines to support advanced analytics, reporting, and predictive insights
Integrate GenAI frameworks to enhance data generation, automation, and summarization
Define and enforce enterprise-wide data governance, standards, and security practices
Drive data modernization initiatives, including cloud migrations
Collaborate with stakeholders, engineers, and AI/ML teams to align solutions with business goals
Enable real-time and batch insights through dashboards, AI-driven recommendations, and predictive reporting
Mentor teams on best practices in data and AI adoption

What we offer

Opportunity to design next-generation enterprise data & AI architectures
Exposure to cutting-edge GenAI platforms to accelerate innovation
Collaborate with experts across cloud, data engineering, and AI practices
Access to learning, certifications, and leadership mentoring
Competitive pay with opportunities for career growth and leadership visibility

Fulltime

Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI

We are seeking an exceptional Senior Solutions Architect & Customer Advisor to s...

Location

United States

Salary:

161000.00 - 268300.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering or related field
MBA or relevant graduate degree preferred
15+ years of hands-on experience in cloud architecture, enterprise infrastructure or solutions architecture
Proven track record designing and implementing large-scale cloud solutions for enterprise clients
Deep expertise in Hybrid Cloud and Data Center architecture with focus on at least two major platforms (AWS, Azure, GCP) and experience with private cloud platforms (VMware, OpenStack)
Strong technical foundation in infrastructure, networking, security, and cloud-native development
Demonstrated ability to architect solutions from requirements through implementation
Experience working with Banking & Financial Services or Healthcare clients on cloud initiatives
Information security, risk management, and regulatory expertise
Understanding of industry-specific operational models and applications

Job Responsibility

Lead technical discovery engagements to assess current cloud maturity, identify hybrid cloud opportunities, and understand infrastructure and application modernization requirements
Conduct comprehensive assessments of customer technology environments to identify gaps, risks, and transformation opportunities
Translate customer business challenges into technical requirements and cloud architecture specifications
Design end-to-end cloud solutions across private cloud, hybrid cloud, and data center ecosystems, including network and cybersecurity
Develop technical roadmaps that align cloud strategy with business objectives
Create proofs-of-concept, reference architectures, and migration strategies
Architect and optimize hybrid cloud solutions across AWS, Azure, and/or GCP platforms, ensuring resilience, scalability, and operational excellence
Design cloud-native architectures leveraging infrastructure-as-code (Terraform, CloudFormation), automation, and DevOps practices
Provide technical leadership on data center modernization, VMware environments, and private cloud platforms
Advise on AI/ML integration, intelligent automation, and emerging cloud technologies

What we offer

incentive compensation opportunities in the form of annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP)

Fulltime

Cloud Solution Architect - Data & AI

Microsoft Corporation

Location:
Netherlands , Schiphol

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

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