AI / ML Architect

Description

We are seeking an experienced AI Architect to lead the design and implementation of cutting-edge AI solutions, ensuring they are safe, reliable, and high-performing. The ideal candidate will have a strong foundation in state-of-the-art AI/ML technologies and a proven ability to guide projects strategically, ensuring that AI solutions are robust, ethical, and deliver significant business value.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Senior

Requirements

• Educational Background: Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related field. Strong theoretical foundation in machine learning, deep learning, and AI system design.

• Technical Expertise: Expert-level proficiency in programming (e.g. Python) and ML frameworks (such as TensorFlow or PyTorch). In-depth knowledge of modern AI techniques including natural language processing, transformer networks, reinforcement learning, and data engineering for AI (ETL, feature engineering).

• AI/ML Tools: Extensive experience with AI and MLOps toolchains

• from model development and version control to continuous integration and automated deployment. Familiarity with vector stores/databases, orchestration of agent frameworks, and evaluation libraries/methodologies for model performance.

• Analytical Skills: Exceptional problem-solving abilities and mathematical skills (linear algebra, calculus, statistics) to innovate and troubleshoot complex AI modelling challenges.

• Leadership & Strategic Thinking: Strong leadership qualities with the ability to mentor team members, make strategic decisions for AI initiatives, and communicate a clear vision for AI adoption across the organisation.

• Communication: Excellent communication skills, capable of conveying complex AI concepts to both technical colleagues and non-technical stakeholders in a clear and concise manner.

• Collaboration: A collaborative mindset, encouraging knowledge sharing and effective teamwork across different departments and disciplines.

• Problem-Solving & Adaptability: Innovative and analytical thinker who approaches challenges methodically. Adaptable to rapidly evolving AI technologies and industry trends, continuously learning and updating skills to drive innovation.

Responsibilities

• AI Strategy & Leadership: Lead the end-to-end development of advanced AI models and frameworks (including large language models, transformers, and agent-based systems), aligning AI initiatives with business goals. Provide technical leadership to data science and engineering teams, and set strategic direction for AI projects.

• Architectural Design: Design and oversee the integration of AI components such as LLMs, transformer architectures, retrieval-augmented generation (RAG) workflows, and vector databases into scalable solutions. Establish standards for model architecture and pipeline optimisation to ensure robustness and efficiency.

• Evaluation & Safety: Define and enforce rigorous evaluation protocols for AI models, including performance metrics, validation techniques, and safety checks. Ensure all AI systems meet reliability standards, ethical guidelines, and regulatory requirements for responsible AI usage.

• MLOps & Deployment: Guide the development of MLOps pipelines for continuous training, testing, and deployment of models in cloud environments. Oversee infrastructure decisions (without bias to specific platforms) to guarantee that AI services are scalable, secure, and maintainable in production.