AI Solutions Architect

Design, architect, and deploy production-grade AI solutions leveraging modern cloud and AI technologies.

Build and integrate large language model applications, including retrieval-augmented generation systems and multi-agent workflows.

Develop scalable APIs and backend services to support AI-driven applications.

Optimize model performance through prompt engineering, embeddings, and efficient data pipelines.

Leverage cloud-based services for document processing, data storage, and serverless computing.

Collaborate with cross-functional teams to align AI solutions with business objectives.

Ensure deployment, monitoring, and continuous improvement of AI systems in production environments.

Design and implement AI and machine learning solutions in production environments.

Develop APIs using Python frameworks for AI-based applications.

Build and manage retrieval-augmented generation systems and agent-based workflows.

Integrate AI models into business applications and optimize performance.

Develop and maintain data pipelines and model deployment processes.

Utilize cloud services for scalable and efficient AI solutions.

Collaborate with stakeholders to define requirements and deliver solutions.

Maintain CI/CD pipelines and containerized deployment environments.

Bachelor's or Master's degree in Computer Science, Data Science, or related field.

Minimum 8 years of experience in AI, machine learning, or backend engineering roles.

Strong proficiency in Python and experience building APIs.

Experience with large language model frameworks and orchestration tools.

Experience designing and deploying RAG systems or multi-agent AI architectures.

Hands-on experience with cloud platforms and serverless computing.

Experience with containerization and CI/CD pipelines.

AI and machine learning engineering.

Python and API development.

Cloud architecture and deployment.

Data processing and model optimization.

Problem-solving and system design.

Collaboration and communication.