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AI Software Architect (AdTech)
AI Software Architect (AdTech)Sigma Software • Romania
AI Software Architect (AdTech)

AI Software Architect (AdTech)

Sigma Software • Romania
În urmă cu peste 30 de zile
Descrierea postului

Overview

Required skills

Generative AI / expert Agentic AI / expert Python / GO / expert Cloud Platforms / strong English / strong

We are looking for a Software Architect with a strong focus on AI / ML to lead the design and implementation of cutting-edge generative AI solutions. In this position, you will take full ownership of technical design decisions, define AI architecture strategy, and ensure the successful integration of advanced AI models into a complex AdTech platform.

Become an AI trailblazer in a growing department with executive support. Drive innovation in a mature, well-established platform while collaborating with industry leaders and international teams. From day one, build a scalable AI architecture with full ownership and support.

This is a unique opportunity to combine classic architectural leadership with modern AI technologies to drive product innovation and make a tangible impact on the advertising industry.

Customer

Our Customer is a Swedish AdTech company that transforms the way publishers and advertisers interact. They provide state-of-the-art self-serve advertising platforms that enable seamless, direct transactions between advertisers and some of the world’s largest publishers. Their mission is to make advertising more accessible, automated, and efficient through innovative technology. Together we serve globally recognized clients such as TripAdvisor, Bloomberg, The Washington Post, Opera, Dow Jones, etc.

At Sigma Software, we collaborate with industry leaders like our customer to push the boundaries of AI-driven automation in AdTech. As we continue to grow, we are looking for top talents to help shape the future of advertising with cutting-edge AI solutions. Join us in building intelligent, scalable, and impactful products in a fast-paced, dynamic environment.

Project

The project is a scalable white-label ad platform used by major global publishers.

Requirements

Requirements

  • 5+ years of experience as Software Architect or Senior Software Engineer with architecture responsibilities
  • Proven experience with AI / ML systems, particularly in Generative AI (LLMs, image or text generation, and agentic systems)
  • Deep knowledge of Python or Go, and ML frameworks (e.g., TensorFlow, PyTorch, HuggingFace)
  • Experience deploying and fine-tuning LLMs at scale
  • Knowledge of transformer-based architectures
  • Strong understanding of software design principles, the architecture lifecycle, and scalable distributed systems
  • Familiarity with AWS cloud services and MLOps practices
  • Excellent communication skills and the ability to translate complex concepts for technical and non-technical audiences
  • Upper-Intermediate level of English or higher

Would be a plus :

  • Previous experience leading AI architecture in a product development environment
  • Background in AdTech or the media publishing domain
  • Experience with A / B testing, AI experimentation frameworks, and data pipelines
  • Degree in computer science, machine learning, or a related field. A PhD is a plus
  • Responsibilities

    Responsibilities

  • Define the AI architecture strategy, ensuring alignment with product goals and engineering best practices
  • Design, validate, and oversee the implementation of scalable, production-ready generative AI and agentic AI solutions (LLMs and AI agents)
  • Lead technical design sessions, architecture reviews, and quality assurance processes
  • Collaborate closely with cross-functional teams to itegrate AI models into the product ecosystem
  • Ensure technical decisions align with budget, long-term vision, and business constraints
  • Establish architectural quality criteria, metrics, and documentation.
  • Mentor engineers on AI / ML best practices, code quality, and system design
  • Promote the reuse of existing solutions and evaluate third-party tools when appropriate
  • Apply MLOps practices for deployment, performance monitoring, and version control
  • Stay up to date with AI trends, drive R&D initiatives, and represent the AI direction of the project
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