Generative AI Architect

Houston - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Generative AI Architect
Location: Huston TX - Onsite/Hybrid
Years of Experience: 10 -15 Years

Job Summary:
We are seeking a highly skilled and experienced Generative AI Architect to join our AI/ML Engineering team. The ideal candidate will have a strong background in generative AI technologies and a proven track record of designing and implementing AI solutions that drive business value. This role requires a deep understanding of machine learning algorithms data modeling and software
architecture along with the ability to collaborate effectively with cross functional teams.

Responsibilities:
Design and develop generative AI models and frameworks that meet business requirements.
Lead the architecture and implementation of AI solutions ensuring scalability reliability and performance.
Collaborate with data scientists engineers and product managers to define project scope and deliverables.
Conduct research on emerging generative AI technologies and assess their applicability to our projects.
Provide technical guidance and mentorship to junior team members.
Evaluate and recommend tools technologies and processes to enhance AI capabilities.
Document architectural designs processes and best practices for generative AI implementations.
Participate in code reviews and ensure adherence to coding standards and best practices.

Mandatory Skills:
Extensive experience in generative AI technologies including but not limited to GANs VAEs and transformer models.
Strong proficiency in programming languages such as Python Java or C.
Deep understanding of machine learning frameworks such as TensorFlow PyTorch or Keras.
Experience with cloud platforms (AWS Azure GCP) and their AI/ML services.
Proven ability to design and implement scalable AI architectures.
Strong analytical and problem solving skills.

Preferred Skills:
Experience with natural language processing (NLP) and computer vision applications.
Familiarity with data engineering and ETL processes.
Knowledge of DevOps practices and CI/CD pipelines for AI model deployment.
Experience in working with large datasets and big data technologies.
Strong communication skills and ability to present complex technical concepts to non technical stakeholders.

Qualifications:
Bachelors or Masters degree in Computer Science Engineering or a related field.
10 15 years of experience in AI/ML engineering with a focus on generative AI.
Proven experience in leading AI projects from conception to deployment.
Strong portfolio of successful generative AI implementations.
If you are passionate about generative AI and want to be part of a dynamic team that is shaping the future of technology we encourage you to apply.