Principal Solutions Architect, AI Ecosystem & Alliances

Benefits

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

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About this role

Principal Solutions Architect, AI Ecosystem & Alliances U.S. Remote About the Role We are seeking a technically fluent Principal Solutions Architect to lead our strategic partnership strategy across the enterprise AI infrastructure ecosystem. You will define joint value propositions that articulate the combined strength of our technology alongside partner platforms, creating differentiated solutions across the full AI stack. This role sits at the intersection of partnership strategy, technical architecture, and field enablement. You will be responsible for shaping long-term alliance roadmaps, engaging credibly with solution architects, and preparing global GTM teams to effectively position joint solutions. Key Responsibilities Partnership Strategy & Alliance Management - Ecosystem Leadership: Lead alliance strategy across cloud providers, silicon vendors, MLOps platforms, enterprise Linux/container platforms, and vector database providers. - Joint Business Planning: Build structured business plans with shared objectives, integration milestones, and multi-year roadmaps. - Executive Relationships: Cultivate relationships from C-suite sponsors to technical architects to maintain long-term strategic alignment. - Market Assessment: Continuously identify new integration opportunities and negotiate partnership frameworks in collaboration with Legal and BizDev. Joint Solution Development & Architecture - Full-Stack Architecture: Define architectures spanning data ingestion, feature engineering, model training, fine-tuning, and inference serving. - Technical Integration: Drive certified workstreams across priority areas: - Enterprise Linux & Containers: Certified integrations with platforms like OpenShift to ensure AI workloads are deployable in hardened environments. - Orchestration: Develop validated deployment architectures with Kubernetes optimized for AI workloads. - Vector Databases: Build integrations for semantic search and Retrieval-Augmented Generation (RAG) workflows. - Engineering

Read the full description at www.weka.io. FewerJobs shows a source-linked preview and links to the original posting.