Principal AI/ML Architect & Applied AI Lead
About Intellias
With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. We partner with leading global organizations to solve tomorrow's most complex technology challenges through engineering excellence and innovation.
Join our international team and help shape the future of enterprise AI.
Project Overview
We are looking for a highly experienced Principal AI/ML Architect & Applied AI Lead to drive the design, development, and operationalization of enterprise-scale AI solutions across both research and production environments.
This is a strategic, hands-on leadership role requiring deep expertise in Machine Learning, Generative AI, Large Language Models (LLMs), distributed data platforms, and cloud-native architectures. You will lead AI initiatives from experimentation through enterprise deployment while defining technical strategy, architecture standards, and engineering best practices.
The ideal candidate combines strong technical depth with consulting expertise, enabling close collaboration with executive stakeholders while mentoring globally distributed engineering teams.
What You Will Do
- Lead the architecture, design, and implementation of enterprise AI and Machine Learning solutions across multiple business domains.
- Drive enterprise adoption of Large Language Models (LLMs), Generative AI, NLP/NLU, Retrieval-Augmented Generation (RAG), agentic AI, and advanced analytics.
- Design and implement production-grade AI platforms that are secure, scalable, observable, and cost-efficient.
- Architect distributed data-processing systems supporting large-scale datasets and real-time pipelines.
- Lead cloud migration and AI platform modernization initiatives, including incremental capability migration between enterprise AI platforms.
- Design model-portable AI architectures using gateway-based LLM access (e.g., AWS Bedrock, LLM gateways/routers) to enable flexible model replacement without re-architecture.
- Build enterprise conversational AI platforms, intelligent assistants, and agentic workflows.
- Define governance, evaluation, monitoring, and observability strategies for Generative AI systems, including production evaluation pipelines, regression testing, tracing, dashboards, and operational monitoring.
- Integrate enterprise AI platforms with modern lakehouse architectures (e.g., Databricks, Unity Catalog), ensuring secure semantic-layer integration and alignment of access-control models.
- Establish AI architecture standards, MLOps best practices, Infrastructure-as-Code, CI/CD pipelines, and scalable deployment strategies.
- Produce architecture documentation, design decision records (DDRs), and governance artifacts to ensure long-term maintainability and knowledge sharing.
- Evaluate emerging AI technologies and recommend innovation opportunities with measurable business impact.
- Lead cross-functional teams of Data Scientists, ML Engineers, Software Engineers, and business stakeholders across multiple regions.
- Mentor engineering teams in AI architecture, software engineering best practices, and agent-native development workflows.
- Communicate complex technical concepts effectively to executive leadership and non-technical stakeholders.
- Support enterprise AI strategy, innovation programs, and large-scale AI transformation initiatives.
What You Bring
Required Qualifications
- Bachelor's degree in computer science, Engineering, Mathematics, Data Science, or a related technical discipline.
- 5+ years of experience in AI/ML, Data Science, or distributed systems engineering.
- Proven experience designing, architecting, and deploying production-grade enterprise AI solutions.
- Demonstrated success leading enterprise AI transformation initiatives.
- Experience leading global and distributed engineering teams.
- Strong consulting mindset with experience partnering directly with executive stakeholders and clients.
Technical Expertise
Generative AI & LLMs
- Hands-on experience designing production LLM and agentic AI systems.
- Expertise with:
- Agent runtimes
- Agentic RAG
- Tool/function calling
- Multi-agent orchestration
- Experience with cloud AI platforms such as AWS Bedrock, AgentCore, or equivalent.
- Experience building enterprise chatbot and conversational AI platforms.
AI Platform Engineering
- Production LLM evaluation frameworks
- AI observability
- Regression testing pipelines
- Prompt evaluation
- Tracing and monitoring
- AI performance dashboards
AI Security & Governance
- Enterprise identity integration (Microsoft Entra ID, OAuth)
- Role- and group-based access control
- Permission-aware retrieval
- AI auditability and governance
- Secure enterprise AI platform design
Data & Machine Learning
- Machine Learning
- Deep Learning
- Generative AI
- NLP/NLU
- MLOps frameworks
- Distributed data systems
- Real-time data processing
Cloud & Platform Engineering
- Kubernetes
- Docker
- Infrastructure-as-Code
- CI/CD pipelines
- Cloud-native architectures
Data Technologies
- SQL
- NoSQL databases
- Enterprise lakehouse platforms (Databricks, Unity Catalog or similar)
Software Engineering
- Python
- Modern software architecture principles
- Architecture governance
- Documentation and Design Decision Records (DDRs)
AI Development Workflow
- Practical experience using AI coding assistants (e.g., Claude Code, GitHub Copilot, or similar) in daily development.
- Ability to mentor engineering teams in AI-assisted and agent-native software delivery practices.
Soft Skills
- Strategic technical leadership
- Strong architectural decision-making
- Executive-level communication
- Stakeholder management
- Consulting and advisory mindset
- Cross-functional collaboration
- Coaching and mentoring
- Innovation-driven approach
- Excellent problem-solving skills
Language Requirements
- English proficiency at B2/C1 level.
- Comfortable communicating daily with stakeholders across Europe, the US, and Canada.
- Experience working within multinational and distributed teams.
Why Join Intellias
- Lead enterprise-scale AI transformation programs with global impact.
- Work on cutting-edge Generative AI and Large Language Model technologies.
- Influence AI strategy and architecture for international clients.
- Collaborate with world-class engineers, architects, and AI experts across multiple regions.
- Enjoy a culture of innovation, continuous learning, and technical excellence.
- Shape the future of AI while solving some of the industry's most advanced technology challenges.
