Partner Engineer, Llama

AECOM; Redmond (WA); On-site; USD 147,000 - 203,000; Full time

Job summary

A leading company in the technology sector seeks a Channel Partner Engineer to drive partner integrations and enhance AI model deployments. This role involves collaborating with partners, troubleshooting issues, and creating technical documentation. Ideal candidates will possess robust software engineering experience, leadership skills, and familiarity with emerging AI technologies.

Qualifications

• 5+ years in software engineering or partner engineering.
• Proven experience with AI/ML technologies and cloud infrastructures.
• Ability to explain technical concepts to diverse audiences.

Responsibilities

• Lead partner integrations and enablement projects.
• Gather and analyze partner requirements for technical solutions.
• Troubleshoot partner-specific issues and provide support.

Skills

Problem-solving

Communication

Technical requirement gathering

Performance tuning

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Java

C++

AWS SageMaker

Google Cloud AI Platform

Job description

**Summary:**

Meta is committed to advancing open-source AI and empowering partners to leverage our cutting-edge models. As a Channel Partner Engineer on the Llama team, you will play a pivotal role in leading partner integrations and developing scalable solutions to enhance partner enablement. You will work closely with our channel partners to understand their technical requirements, design and implement solutions, and optimize deployments to ensure the success of our AI models across a broad set of partner infrastructures.

**Required Skills:**

Partner Engineer, Llama Responsibilities:

1. Lead channel partner integrations and enablement projects, ensuring timely and high-quality deliverables.

2. Gather and analyze partner requirements, translating them into technical specifications and implementation plans.

3. Develop and maintain technical documentation for partner deployments, including integration guides and best practices.

4. Troubleshoot and resolve partner-specific issues, providing timely and effective support.

5. Collaborate with cross-functional teams to implement partner solutions and drive continuous improvement.

6. Assist in the optimization of Llama model deployments within partner infrastructures.

7. Contribute to the development of scalable solutions for partner enablement.

8. Participate in partner-facing technical discussions and presentations.

9. Support the creation and maintenance of business function-specific evaluations and benchmarks.

10. Collect and document technical feedback from partners and their customers.

**Minimum Qualifications:**

Minimum Qualifications:

11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

12. 5+ years of experience in software engineering, partner engineering, or related technical roles

13. Demonstrated experience in understanding AI/ML technologies, cloud infrastructures, and enterprise software deployments

14. Demonstrated leadership skills, with experience working independently, take initiative on ambiguous projects, and drive results in a fast-paced environment

15. Experience with partner integrations and technical requirement gathering

16. Proven problem-solving skills and experience troubleshooting complex technical issues

17. Proven communication skills, with demonstrated experience to explain technical concepts to both technical and non-technical audiences

18. Proficiency in at least one programming language (e.g., Python, Java, C++)

**Preferred Qualifications:**

Preferred Qualifications:

19. Experience building Gen AI Apps

20. Experience working with businesses on AI/ML deployments

21. Experience working with Llama or other large language models

22. Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform

23. Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies

24. Knowledge of data privacy and security best practices in AI/ML deployments

25. Experience with performance tuning and optimization of AI models

**Public Compensation:**

$147,000/year to $203,000/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 [e-mail].