Llama Solutions Architect - Meta

Meta believes open source AI is the path forward. We are not only developing and releasing more advanced models but are also helping partners leverage our models and all of its functionality.As a Solutions Architect for Llama, you will be responsible for executing partner integrations and enablement projects in Government related projects, gathering and analyzing partner requirements, and providing technical support for our AI model deployments. You will work closely with government agencies to ensure successful implementation and optimization of Llama solutions across various partner infrastructures.

RESPONSIBILITIES

Llama Solutions Architect Responsibilities:

• Execute channel partner integrations and enablement projects, ensuring timely and high-quality deliverables
• Gather and analyze partner requirements, translating them into technical specifications and implementation plans
• Develop and maintain technical documentation for partner deployments, including integration guides and best practices
• Troubleshoot and resolve partner-specific issues, providing timely and effective support
• Collaborate with cross-functional teams to implement partner solutions and drive continuous improvement
• Assist in the optimization of Llama model deployments within partner infrastructures
• Contribute to the development of scalable solutions for partner enablement
• Participate in partner-facing technical discussions and presentations
• Support the creation and maintenance of business function-specific evaluations and benchmarks
• Collect and document technical feedback from partners and their customers

MINIMUM QUALIFICATIONS

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 9+ years of experience in software engineering, partner engineering, or related technical roles.
• Experience with machine learning, artificial intelligence, cloud infrastructures, and enterprise software deployments.
• Experience with partner integrations and technical requirement gathering.
• Experience working with the government and government agencies ideally in AI/ML deployments.
• Experience troubleshooting complex technical issues.
• Proficiency in at least one programming language (e.g., Python, Java, C++).
• Communication skills and experience explaining technical concepts to both technical and non-technical audiences.

PREFERRED QUALIFICATIONS

Preferred Qualifications:

• Experience working with Llama or other large language models
• Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform
• Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies
• Knowledge of data privacy and security regulations relevant to AI/ML deployments
• Experience with performance optimization of large-scale AI models