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Senior AI Solution Architect
Отличная вакансия для опытных архитекторов: полностью удаленная работа, гибкий график, работа с Fortune 500 и компенсация оборудования. Высокие требования компенсируются интересными задачами и международной средой.
Сложность вакансии
Высокая сложность обусловлена требованием более 10 лет опыта в разработке и 5 лет в архитектуре ИИ-систем. Роль требует глубоких знаний в MLOps, распределенных системах и облачных инфраструктурах.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior AI Architect в Европе и США рыночные показатели значительно выше среднего. Предложенный диапазон отражает текущие ставки для специалистов такого уровня в международном консалтинге.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI Solution Architect position at Janea Systems. With over a decade of experience in software engineering and a specialized focus on architecting production-grade machine learning systems, I have developed a deep understanding of how to bridge the gap between complex ML models and scalable enterprise infrastructure. My background in designing end-to-end MLOps pipelines and distributed systems aligns perfectly with your mission to provide high-impact software development services to Fortune 500 companies.
Throughout my career, I have led the architectural design of numerous AI-powered platforms, ensuring high availability and performance in cloud environments like AWS and Azure. I am particularly drawn to Janea Systems' reputation for tackling the industry’s toughest engineering challenges and your commitment to a remote-first, flexible culture. I am confident that my technical leadership and expertise in LLMs and generative AI systems will allow me to contribute significantly to your consulting engineering team and help drive innovation for your global clients.
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Описание вакансии
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
We are seeking an experienced Senior AI Software Architectto join our consulting engineering team. In this role, you will be responsible for designing scalable architectures for machine learning and AI-powered systems used by enterprise clients. You will work closely with engineering teams, ML specialists, and client stakeholders to architect production-ready AI platforms, data pipelines, and distributed systems that support advanced machine learning applications. As a senior technical authority, you will define architectural standards, guide complex AI system implementations, and help ensure that machine learning solutions are scalable, reliable, and maintainable in production environments.
| Location | Fully Remote/ European Residence required |
| Compensation | Salary |
| Work Schedule | Full time/ Flexible working hours |
| Reports to | Head of Engineering |
| Member of | Engineering Team |
Key Responsibilities:
Architecture & System Design
- Design scalable architectures for machine learning platforms, AI services, and data processing pipelines.
- Define system-level architectures that integrate machine learning models into distributed production systems.
- Ensure high availability, scalability, and performance of ML-powered applications.
AI & ML Platform Engineering
- Architect end-to-end ML pipelines including data ingestion, feature engineering, training workflows, model serving, and monitoring.
- Design ML infrastructure capable of supporting experimentation, training, and large-scale inference.
- Guide teams in implementing modern MLOps practices across projects.
Technical Leadership
- Provide architectural leadership to engineering teams implementing ML-enabled systems.
- Establish best practices for system design, model integration, observability, and reliability.
- Conduct architecture reviews and mentor engineers on building scalable ML-driven software systems.
Cross-Team Collaboration
- Work closely with ML engineers, backend engineers, data engineers, and DevOps teams to design cohesive AI solutions.
- Partner with client stakeholders to translate complex business requirements into scalable technical architectures.
- Help guide technical decisions during project planning and delivery.
Innovation & Thought Leadership
- Stay current with advancements in machine learning infrastructure, distributed systems, and AI engineering.
- Identify opportunities to improve the scalability and efficiency of ML systems across projects.
- Contribute to internal knowledge sharing and architectural standards across Janea’s engineering teams.
To be considered for this position, you must have the following qualifications:
- 10+ years of experience in software engineering, distributed systems, or backend architecture.
- 5+ years of experience designing systems that incorporate machine learning or data-driven components.
- Strong experience architecting large-scale, production-grade software systems.
- Deep understanding of machine learning system architecture, model deployment patterns, and ML lifecycle management.
- Strong programming experience in Python, Java, C#, or similar languages.
- Experience designing systems in cloud environments (AWS, Azure, or GCP).
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Strong understanding of data pipelines, distributed systems, and microservices architectures.
- Excellent system design, problem-solving, and technical leadership skills.
- Strong written and spoken English communication skills.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Ideal candidates will also have:
- Experience designing ML platforms or internal AI infrastructure.
- Experience working with LLMs, generative AI systems, or deep learning architectures.
- Familiarity with large-scale distributed training environments.
- Experience with feature stores, model monitoring platforms, or ML observability tooling.
- Experience working in client-facing consulting environments designing enterprise-scale systems.
Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:
- Competitive compensation with benefits, paid vacation, and sick leave.
- The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineeringchallenges.
- Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
- An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
- Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
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Навыки
- AWS
- Azure
- C++
- Python
- GCP
- Machine Learning
- LLM
- Kubernetes
- Microservices
- MLOps
- Docker
- System Design
- Distributed Systems
- Java
- Generative AI
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем с нуля.
Опишите архитектуру последней разработанной вами ML-платформы: как вы обеспечили масштабируемость и отказоустойчивость?
Оценка навыков внедрения современных практик автоматизации.
Какие стратегии MLOps вы считаете наиболее критичными для обеспечения надежности моделей в продакшене?
Проверка актуальных знаний в области генеративного ИИ.
С какими основными архитектурными вызовами вы сталкивались при интеграции LLM в корпоративные системы?
Оценка навыков работы с данными.
Как вы проектируете пайплайны данных для обеспечения минимальной задержки (latency) при инференсе в реальном времени?
Проверка лидерских качеств и умения работать с клиентами.
Как вы подходите к разрешению конфликтов между требованиями бизнеса и техническими ограничениями при проектировании ИИ-решений?
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