AI Solution Architect

Job Description

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

What you’ll do

We are seeking an experienced AI & Data Architect to design, build, and govern end‑to‑end AI and data solutions leveraging modern lakehouse architectures, technologies, and methodologies. The ideal candidate will play a critical role in defining enterprise‑scale data and AI architectures, enabling advanced analytics, machine learning, and Generative AI (GenAI) initiatives. You will ensure robust data foundations, seamless data and ML pipelines, and high‑performing, scalable AI applications across hybrid environments, including local analytic platforms (Cloudera & PracticusAI) and cloud ecosystems.
Key Accountabilities
AI Solution Development:
• Design, develop, and implement end-to-end AI solutions across various business domains.
• Lead the deployment of AI models, algorithms, and systems in production environments.
• Collaborate with data scientists to implement generative AI solutions using foundational models like LLMs in local data centers.
Data Architecture and Management:
• Define efficient data architectures to feed machine learning models and facilitate seamless data sharing across systems.
• Ensure high data quality, performance, and cost efficiency in operational pipelines.
• Develop and manage real-time data processing and analytics architectures integrated with business systems.
• Apply MLOps, DataOps, and AIOps principles to create sustainable and effective value chain management processes.
• Stay updated on advancements in AI technologies and apply them to improve business outcomes.
• Aligns data architecture and technology choices with enterprise data strategy to maximize long-term business value.
• Establishes AI-ready data foundations that enable advanced analytics and machine learning use cases at scale.
• Defines real-time and event-driven data architectures that enable timely insights and tight integration with business processes.
Infrastructure and Performance Optimization:
• Establish robust infrastructures to ensure AI models operate with accurate data, meet SLAs, and deliver high performance.
• Optimize workflows for stability and efficiency in processing petabyte-scale data in on-premise environments.
Leadership and Collaboration:
• Provide technical guidance and mentorship to data engineers and scientists.
• Collaborate with enterprise architects, solution architects, and stakeholders to ensure seamless integration of AI solutions.
Security and Compliance:
• Implement best practices to protect sensitive data and AI systems while maintaining compliance with industry standards.

Who you are

Bachelor's degree or higher in a technology-related field (e.g., Computer Science, Mathematics, Industrial Engineering, or related quantitative disciplines).

Experience & Skills:
At least 6 years of experience designing, building, and managing large-scale data applications, particularly in Hadoop ecosystems (Cloudera, Spark, Hive/Impala, etc.).
Hands-on experience with AI frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-learn.
Strong knowledge of GenAI, including foundational models, generative adversarial networks, and reinforcement learning.
Expertise in software development using Python, Java, or Scala (additional languages are a plus).
Proven experience deploying AI models in production environments.
Proficiency in containerization and orchestration tools like Docker and Kubernetes.
Strong understanding of private and hybrid cloud environments, microservice architectures, and real-time analytics.

Preferred Skills:
Knowledge of Agile methodologies, including Scrum, DevOps, MLOps, and DataOps.
Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow).
Experience in real-time data processing and analytics is an advantage.

Personal Attributes:
Excellent problem-solving and analytical skills.
Strong leadership and mentoring abilities for cross-functional teams.
Effective communication and collaboration skills.

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

What's in it for you

We like to keep them flexible:

• Vflexy: Flexible Benefits Program
• Hybrid working kit
• Ergonomic kit allowance
• Digital meal voucher
• Flexible transportation allowance.
• Employee assistance hotline & counselling
• Comprehensive and flexible private health insurance
• Discounted price deals for wide range of products & services

Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr

https://www.vodafone.com.tr/insan-kaynaklari

Instagram: https://www.instagram.com/vodafonekariyer/

Youtube: https://www.youtube.com/user/VFTurkiye

Data Privacy
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.