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.
Solutions Architect, Llama Responsibilities:
- Design and architect complex solutions for channel partners and end customers
- Lead technical pre-sales engagements with partners and customers
- Develop and present technical content for partner events and sales motions
- Analyze partner requirements and provide technical recommendations
- Collaborate with cross-functional teams to drive innovation in partner solutions
- Develop and maintain technical documentation for partner deployments
- Provide technical support and guidance to partners
- Mentor other solutions architects and contribute to best practices
- Participate and represent Llama in executive meetings
- Assist in the optimization of Llama model deployments within partner infrastructures
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- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- 10+ years of experience in solution architecture, software development, or a related field
- 5+ years of experience in designing and implementing solutions for partner and customer use cases
- Experience collaborating at the executive level with partners
- Experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud)
- Experience with containerization (e.g. Docker) and orchestration (e.g. Kubernetes)
- Experience with programming languages (e.g. Python, Java, C++)
- Experience working with government and enterprise clients in AI/ML deployments
- Experience working with Llama or other large language models
- Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform
- Experience with machine learning, artificial intelligence, or data analytics
- Experience with DevOps practices and tools (e.g. CI/CD pipelines, monitoring and logging)
- Experience with security and compliance frameworks (e.g. HIPAA, PCI-DSS)
- Experience with partner management and sales engineering
- Master's degree in Computer Science, Computer Engineering, or a related field
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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.
$179,000/year to $252,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.