**Summary:** We are seeking an experienced Solutions Architect to join our LlamaX Enterprise & Government team within our Partner Engineering pillar. As a Solutions Architect, you will design and architect complex solutions for channel partners and end customers, lead technical pre-sales engagements with strategic partners and customers, and develop and present technical content for partner events and sales motions. You will also mentor other solutions architects and contribute to best practices. **Required Skills:** Solutions Architect, Llama Responsibilities: 1. Design and architect complex solutions for channel partners and end customers 2. Lead technical pre-sales engagements with partners and customers 3. Develop and present technical content for partner events and sales motions 4. Analyze partner requirements and provide technical recommendations 5. Collaborate with cross-functional teams to drive innovation in partner solutions 6. Develop and maintain technical documentation for partner deployments 7. Provide technical support and guidance to partners 8. Mentor other solutions architects and contribute to best practices 9. Participate and represent Llama in executive meetings 10. Assist in the optimization of Llama model deployments within partner infrastructures **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, or a related field 12. 10+ years of experience in solution architecture, software development, or a related field 13. 5+ years of experience in designing and implementing solutions for partner and customer use cases 14. Experience collaborating at the executive level with partners 15. Experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud) 16. Experience with containerization (e.g. Docker) and orchestration (e.g. Kubernetes) 17. Experience with programming languages (e.g. Python, Java, C++) **Preferred Qualifications:** Preferred Qualifications: 18. Experience working with government and enterprise clients in AI/ML deployments 19. Experience working with Llama or other large language models 20. Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform 21. Experience with machine learning, artificial intelligence, or data analytics 22. Experience with DevOps practices and tools (e.g. CI/CD pipelines, monitoring and logging) 23. Experience with security and compliance frameworks (e.g. HIPAA, PCI-DSS) 24. Experience with partner management and sales engineering 25. Master's degree in Computer Science, Computer Engineering, or a related field **Public Compensation:** $179,000/year to $252,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.