proof-of-concept jobs in San Diego

Design and deliver AI architecture solutions across the ServiceNow platform, translating customer requirements into scalable blueprints and proof of concepts. Lead technical deep-dive sessions, architect end-to-end integrations, and develop reusable reference architectures and industry patterns.…See more Requires 7+ years in architecture or pre-sales engineering roles with deep ServiceNow platform mastery, including data models, workflows, integration hub, scripting, and security frameworks.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

Director leading a pre-sales security engineering team responsible for technical strategy, solution design, and customer-facing support across EVOTEK's cybersecurity portfolio. The role combines deep technical security expertise with people leadership, requiring mentorship of engineers/architects, oversight of enterprise solution design and proof-of-concept engagements, and alignment of technical capabilities with sales and delivery practices.…See more Responsibilities include RFP response, competitive positioning, vendor management, and technical presentations spanning AI security, network security, cloud security, identity & access management, endpoint/XDR, SIEM/SOAR, zero-trust architecture, and data protection. Must understand the VAR business model and translate complex technical capabilities into business value for enterprise stakeholders.