Lead MLOps Architect

Lead MLOps Architect

With over 20 years of market experience, Intellias brings together technologists, creators, and innovators in Europe, North America, Latin America, and the Middle East. Join our international team and take on the mission of solving tomorrow's advanced technological challenges!

What project do we have for you

We are looking for a highly experienced and hands-on Lead AI/ML Architect to lead the design, development, and operationalization of large-scale AI systems in research and production environments.

This role combines deep technical expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities.

• technical leadership,
• hands-on implementation,
• AI strategy,
• cross-team collaboration,
• and mentoring of engineering and data science teams.

What you will do

• Lead the design and implementation of AI/ML solutions across multiple business domains.
• Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, and advanced analytics solutions.
• Define architectural standards in AI, best MLOps practices, and scalable implementation strategies.
• Evaluate emerging AI technologies and identify innovation and operational impact opportunities.
• Translate research initiatives into production-ready AI solutions.
• Architect scalable distributed data processing systems capable of handling large datasets and real-time pipelines.
• Design and optimize cloud-native AI platforms using modern data engineering frameworks.
• Lead cloud migration initiatives and modernization of on-premises environments to Azure and/or AWS.
• Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and container environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI infrastructure.
• Design and implement enterprise-level chatbots and conversational AI platforms.
• Lead development of Retrieval-Augmented Generation (RAG), agent workflows, and LLM orchestration systems.
• Define governance, assessment, and monitoring strategies for GenAI systems.
• Collaborate with research teams to operationalize LLM-based applications safely and responsibly.
• Lead cross-functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders.
• Mentor engineers and researchers on best practices in AI/ML, architecture, and software engineering standards.
• Coordinate global AI initiatives across distributed teams and multiple geographies.
• Communicate technical concepts effectively to executive and non-technical audiences.
• Support innovation programs and AI adoption strategies across the organization.

What you need for this

Requirements:

• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• More than 10 years of experience in AI/ML, data science, or distributed systems engineering.
• Proven experience in designing and implementing production AI solutions at enterprise scale.
• Strong knowledge of AI research and industry environments.
• Experience leading global or distributed technical teams.
• Demonstrated success in delivering AI transformation initiatives.
• Large Language Models (LLMs).
• Generative AI systems.
• NLP / NLU.
• Apache Spark.
• Databricks.
• Delta Lake.
• SQL / NoSQL databases.
• Distributed computing architectures.
• Streaming and batch processing pipelines.
• AWS and/or Azure.
• Docker.
• Kubernetes.
• CI/CD pipelines.
• Infrastructure as Code.
• MLOps frameworks.
• Python.
• Scala.
• Experience in AI governance and responsible AI practices.
• Experience in building AI platforms serving multiple teams or business units.
• Experience optimizing cloud infrastructure and reducing operational costs.

What it's like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results.

That’s why we offer a variety of benefits that support your well-being and promote your professional growth.

We are committed to promoting equity, diversity, and inclusion as an equal opportunity employer.

All candidates will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of each individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Skills

• Artificial Intelligence.