Description

Responsibilities:

• Design and develop scalable and efficient AI and Generative AI architectures that align with business objectives.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Lead the evaluation and selection of AI technologies and tools to enhance solution capabilities.
• Provide technical guidance and mentorship to development teams throughout the project lifecycle.
• Conduct feasibility studies and proof of concept projects to validate AI solutions.
• Ensure adherence to best practices in AI architecture, data management, and security.
• Stay updated on industry trends and emerging technologies in AI and Generative AI.
• Communicate complex technical concepts to non technical stakeholders effectively.

Mandatory Skills:

• Proven experience in AI and Generative AI Architecture.
• Strong knowledge of machine learning algorithms, natural language processing, and computer vision.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Proficiency in programming languages such as Python, Java, or R.
• Ability to design and implement RESTful APIs and microservices.
• Strong analytical and problem solving skills.
• Excellent communication and interpersonal skills.

Preferred Skills:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with DevOps practices and CI/CD pipelines.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Experience in Agile methodologies and project management.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• 7 10 years of experience in solution architecture, with a focus on AI technologies.
• Relevant certifications in AI, cloud computing, or architecture frameworks (e.g., TOGAF) are a plus

Key Skills

Education

Bachelor's degree