
Ai Solutions Architect
2 days ago
As an AI Solutions Architect Engineer, you will be responsible for designing, developing, and implementing AI-based solutions that align with our business goals. You will work closely with cross-functional teams to ensure seamless integration of AI technologies into our backend systems, ensuring robust and scalable solutions.
**Key Responsibilities**:
- **Architect AI Solutions**: Design and implement AI-driven architectures that meet the technical and business requirements of the organization.
- **Backend Integration**: Develop and maintain backend systems that support AI solutions, ensuring high performance, scalability, and security.
- **Collaboration**: Work closely with data scientists, software engineers, and other stakeholders to integrate AI models into production environments.
- **Technology Evaluation**: Stay up-to-date with the latest AI and backend technologies, evaluating and recommending tools and frameworks that enhance our solutions.
- **Prototyping**: Create prototypes and proof-of-concept projects to demonstrate the viability and effectiveness of proposed AI solutions.
- **Optimization**: Continuously optimize AI models and backend systems for performance, cost-efficiency, and scalability.
- **Documentation**: Prepare detailed documentation of AI architectures, algorithms, and backend systems to ensure knowledge transfer and project continuity.
- **Troubleshooting**: Diagnose and resolve technical issues related to AI models and backend systems in a timely manner.
**Qualifications**:
- **Educational Background**: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- **Experience**: 5+ years of experience in AI solution architecture and backend engineering.
- **Technical Expertise**:
- Proficiency in AI technologies and frameworks such as TensorFlow, PyTorch, or similar.
- Strong knowledge of backend technologies, including databases (SQL/NoSQL), server-side languages (Python, Django, Java.), and API development.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with DevOps practices and CI/CD pipelines.
- **Skills**:
- Strong problem-solving skills with a focus on performance optimization.
- Excellent communication skills for collaborating with technical and non-technical stakeholders.
- Ability to work in a fast-paced, agile environment.
- **Certifications**: Relevant certifications in AI or backend technologies are a plus.
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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