Data Architect - GenAI

Description: JOB Description: Senior Manager Architect

As a Senior Manager - GenAI Architect, the person will be responsible for leading and designing advanced AI architectures that drive strategic business outcomes. This role requires a deep understanding of data management, application development, AI technologies, cloud solutions, and user interface design. The person will work closely with cross-functional teams to deliver robust and scalable solutions that meet our business objectives.

Key Responsibilities:

- Architectural Design: Develop and oversee data architectures and application frameworks that support AI initiatives. Ensure integration of data and applications with existing systems to create cohesive and efficient solutions.

- AI Solutions: Design and implement AI-driven models and solutions, leveraging machine learning, natural language processing, and other AI technologies to solve complex business problems.

- Cloud Integration: Architect cloud-based solutions that support scalability, security, and performance for AI applications. Collaborate with cloud providers and internal teams to ensure optimal cloud infrastructure.

- User Interface Design: Work with UI/UX teams to ensure that AI solutions have user-friendly interfaces and deliver an exceptional user experience.

- Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support in the development of AI solutions. Collaborate with stakeholders across departments to align technical strategies with business goals.

- Strategic Planning: Develop and implement architectural strategies and roadmaps that align with the companys vision and technology advancements.

- Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects in the team to define and execute go-to-market strategies for AI solutions. Provide architectural insights that align with clients needs and support successful solution development.

- Innovation & Best Practices: Stay abreast of industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation.

Qualifications:

- Education: Bachelors or Masters degree in computer Science, engineering, Data Science, mathematics or a related field.

- Experience: Minimum of 14+ years of experience in a senior architectural role with a focus on AI, data management, application development, and cloud technologies.