GenAI Architect

Role Overview:

As a GenAI Architect at VALUTEK, you will be at the forefront of designing and implementing Generative AI solutions for our clients. You will collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into robust and scalable GenAI architectures. Your expertise will drive the adoption of innovative AI technologies, enabling our clients to unlock new opportunities and achieve significant business outcomes.

Key Responsibilities:

- Design and implement end-to-end Generative AI solutions, leveraging LLMs and Agentic AI frameworks, to address complex business challenges for our clients.

- Develop and maintain a comprehensive understanding of the latest advancements in Generative AI, Machine Learning, and related technologies to provide thought leadership and guidance to internal teams and clients.

- Collaborate with data scientists and engineers to build and deploy scalable and efficient GenAI models, ensuring alignment with business requirements and performance goals.

- Define and enforce architectural standards and best practices for GenAI development, ensuring code quality, security, and maintainability.

- Lead technical discussions with clients to understand their needs, propose innovative solutions, and present architectural designs.

- Evaluate and select appropriate GenAI platforms, tools, and technologies to optimize performance, cost, and scalability.

- Mentor and guide junior team members, fostering a culture of innovation and continuous learning within the GenAI team.

Required Skillset:

- Demonstrated expertise in designing and implementing Generative AI solutions using LLMs and Agentic AI frameworks.

- Proven ability to build and deploy Machine Learning models in a production environment.

- Strong understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and related services.

- Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Ability to thrive in a fast-paced, collaborative environment and adapt to changing priorities.

- 11-19 years of experience in relevant field.