Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10+ years of experience in software engineering, technical consulting, or a related field
Experience working with channel partners, including understanding their technical requirements and developing solutions
Experience with machine learning, artificial intelligence, cloud infrastructures, and enterprise software deployments
Experience leading complex technical projects and partner integrations
Experience influencing both technical and non-technical stakeholders

Nice to Haves

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
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

Lead complex channel partner integrations and projects, managing multiple high-priority initiatives simultaneously
Develop scalable solutions for partner enablement, focusing on automation and efficiency
Analyze partner requirements and provide strategic recommendations to improve integrations and deployments
Mentor other engineers and contribute to best practices for the partner engineering team
Collaborate with cross-functional teams to align channel partner initiatives with company goals
Design and implement optimization strategies for Llama models in channel partner infrastructures
Contribute to the development of the Channel Partner roadmap, considering Llama's model roadmap and partner evolution
Participate in the creation and maintenance of business function-specific evaluations and benchmarks
Gather and analyze technical feedback from partners and their customers, using insights to drive improvements