AI Software Architect
Há 7 dias
We are seeking a highly skilled AI Software Architect to join our global AI Team. As a key member of our team, you will play a crucial role in designing and building AI-powered applications that drive business value across different areas. Your expertise in software architecture, principles, and best practices will be invaluable in shaping our AI solutions.
Key Responsibilities:
- Advise and guide the team in designing modern and modular software architectures for AI-powered applications.
- Take the lead on establishing best practices for software engineering and adopting suitable frameworks, tools, and platforms for building successful AI applications.
- Develop AI-powered software applications, including multiple components such as frontend, backend, databases, API integrations, and monitoring.
- Collaborate with data engineers, data scientists, and software engineers to ensure seamless integration of data pipelines, machine learning algorithms, and software modules into successful AI-based applications.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Foundational knowledge on software architecture, principles, and best practices.
- Several years of experience in full-stack software development in complex and long-term projects, from conception to deployment, with a focus on designing and implementing scalable, modular, and maintainable software architectures.
- Previous experience in building AI-based applications is a plus.
- Proficiency in programming and creating solutions with Python. Knowledge of JavaScript/TypeScript is valued.
- Strong knowledge in database design and management, including both SQL and NoSQL databases.
- Experience in building and integrating RESTful APIs. Understanding of API security, authentication, and versioning.
- Knowledge and hands-on experience in using cloud services, preferably AWS.
- Experience with services such as API Gateway, Lambda, ECS, DynamoDB, and related ones is highly valued.
- Experience in establishing and promoting best practices in software engineering, such as code reviews, automated testing, version control (Git), and Agile methodologies.
- Experience with AI/ML services (e.g., OpenAI, SageMaker, Synapse), containerization, CI/CD, and infrastructure as code are nice to have.
- Excellent problem-solving, communication, and mentoring skills.
- Fluency in English, both written and spoken.
- A reliable team player, with a collaborative attitude.
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