Principal Solutions Architect, AI Ecosystem & Alliances at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Solutions Architect, AI Ecosystem & Alliances in United States.

This is a strategic and highly visible role at the intersection of AI innovation, technical architecture, and global partnerships. You will lead the design and execution of ecosystem strategies across the enterprise AI infrastructure landscape, shaping how technologies integrate and scale together. Working closely with partners, internal teams, and executive stakeholders, you will define joint solutions that span the full AI lifecycle. The position offers a unique blend of hands-on architecture, alliance leadership, and go-to-market enablement. You will influence product direction, support field teams, and represent cutting-edge AI solutions externally. This role is ideal for a technically strong leader who thrives in complex environments and enjoys driving collaboration across organizations.

• Define and lead alliance strategies across key ecosystem partners, including cloud providers, AI platforms, and infrastructure vendors
• Build and execute joint business plans, including integration roadmaps and long-term partnership objectives
• Establish and maintain relationships with executive stakeholders and technical leaders across partner organizations
• Design end-to-end AI architectures covering data pipelines, model training, fine-tuning, and inference deployment
• Drive technical integrations and validated solutions across areas such as container platforms, orchestration systems, and vector databases
• Collaborate with engineering teams to develop reference architectures, proof-of-concepts, and deployment blueprints
• Support go-to-market initiatives by creating technical content, enabling sales teams, and delivering training programs
• Act as a thought leader by contributing to industry events, technical publications, and ecosystem discussions

Requirements:

• 8+ years of experience in solutions architecture, alliance management, or technical strategy within enterprise software, cloud, or AI/ML environments
• Strong expertise in AI/ML frameworks and infrastructure, including LLM deployment, GPU computing, and tools such as PyTorch, TensorFlow, or JAX
• Deep understanding of the AI lifecycle, including data engineering, model training, inference, and MLOps practices
• Proven ability to design scalable, cloud-native architectures and work with containerization and orchestration technologies like Kubernetes
• Experience with modern data ecosystems, including vector databases and retrieval-augmented generation (RAG) workflows
• Strong communication skills with the ability to translate complex technical concepts into clear business value
• Demonstrated success in building and executing strategic technology partnerships with measurable outcomes
• Advanced degree (MS, PhD, or MBA) and involvement in open-source or AI communities are considered strong advantages

Benefits:

• Competitive compensation package with performance-based incentives
• Flexible work arrangements, including remote or hybrid options
• Comprehensive health, dental, and vision coverage
• Generous paid time off and wellness programs
• Opportunities for continuous learning, certifications, and professional development
• Exposure to cutting-edge AI technologies and global industry leaders
• Collaborative and inclusive work culture focused on innovation and growth