Architect (GenAI + LLM)

2 weeks ago

Irving, United States Georgia IT Full time

Architect (GenAI + LLM)

Remote

Irving Texas

Responsibilities:
Partnerwith Product Owners and Technical Product Managers to understand business
requirements and define architectural solutions that leverage GenAI and LLM technologies.
Designend-to-end architectures for complex business problems, considering factors such as
scalability, reliability, performance, security, and cost-effectiveness.
Ensurewefollowstandard architectural patterns and best practices for GenAI and LLM
implementations, ensuring alignment with organizational reference architectures and industry
standards.
Collaborate with cross-functional teams to implement architectural solutions, providing
guidance and oversight throughout the development lifecycle.
Conductarchitecture reviews and assessments to evaluate the feasibility, scalability, and
effectiveness of proposed solutions, identifying risks and mitigation strategies as needed.
Stayinformed about emerging trends and advancements in GenAI, LLM, and related
technologies, continuously evaluating new tools and methodologies to enhance architectural
capabilities.
Actasasubject matter expert on GenAI and LLM architectures, providing guidance and support
to project teams and stakeholders.
Communicateeffectively with technical and non-technical audiences, presenting architectural
designs, recommendations, and trade-offs in a clear and concise manner.
Qualifications:
Bachelor's degree in computer science, engineering, or a related field; Master's degree
preferred.
8+yearsofArchitecture experience in Cloud technologies
4+yearsofArchitecture experience in AI technologies
experience in architecting and delivering Gen AI projects
ProvenandDemonstrable experience as an architect or senior technical lead for multiple
Generative AI and Language Model Learning solutions
Strongtechnical background in AI, machine learning, natural language processing (NLP), and
related disciplines, with hands-on experience designing and implementing AI solutions.
In-depthknowledge of architectural principles, design patterns, and best practices for building
scalable and reliable systems using cloud-based technologies.
Experience working with Product Owners, Technical Product Managers, and other stakeholders
to translate business requirements into architectural designs.
Excellent communication and collaboration skills, with the ability to influence and engage
stakeholders at all levels of the organization.
Familiarity with agile development methodologies and DevOps practices, including continuous
integration and continuous deployment (CI/CD).
Strongexperience with Google Cloud Platform cloud

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