AI Solution Architect Job at Vodafone (İstanbul)

AI Solution Architect

Vodafone

Location:
Türkiye , İstanbul

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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.

Job Responsibility:

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
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
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
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
Implement best practices to protect sensitive data and AI systems while maintaining compliance with industry standards

Requirements:

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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
May 05, 2026

Work Type:

On-site work

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