Meta believes open source AI is the path forward. As a company, we are committed to making our Llama AI models the most advanced in the industry and open source AI the industry standard. To do so, 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 Channel Partner Engineer 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 Meta’s policy team, government agencies, and government contractors to ensure successful implementation and optimization of Llama solutions across various partner infrastructures.
- 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 10+ years of experience in software engineering, partner engineering, or related technical roles
- Proven understanding of AI/ML technologies, 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
- Effective problem-solving skills and experience to troubleshoot complex technical issues
- Proven communication skills, with the experience to explain technical concepts to both technical and non-technical audiences
- Proficiency in at least one programming language (e.g., Python, Java, C++)
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 best practices in AI/ML deployments
- Experience with performance tuning and optimization of AI models
- Government experience, particularly in the defense and/or intelligence sectors
- Existing security clearance
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$257,000/year to $328,000/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.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.