Senior AI Platform Engineer

About the roleWe are seeking a Senior AI Platform Engineer to design, build, deploy, and support enterprise AI solutions and the platform capabilities that enable them.

• About the role
• We are seeking a Senior AI Platform Engineer to design, build, deploy, and support enterprise AI solutions and the platform capabilities that enable them. This is a hands-on software engineering role focused on enabling the development of AI tools that will transform Blackbaud ’s business processes.
• You will build agentic and LLM-powered solutions while establishing the reusable engineering patterns, security controls, observability, and operational practices needed to use AI safely and effectively at enterprise scale.
• What you’ll be doing
• Design, build, test, deploy, and support production agentic and LLM-powered solutions that integrate with enterprise data, APIs, tools, and workflows.
• Build reusable AI platform services, integration patterns, guardrails, and reference implementations that enable teams to adopt AI securely and efficiently.
• Design security controls for AI agents, including identity, authorization, least-privilege access, sensitive-data handling, auditability, and secure integrations.
• Implement AI-specific observability and evaluation, monitoring areas such as output quality, hallucinations, behavioral or model drift, failures, latency, token consumption, and cost.
• Develop mechanisms to detect, troubleshoot, contain, and remediate unexpected or unsafe agent behavior.
• Optimize model selection, context management, agent workflows, and consumption to balance quality, reliability, performance, and cost.
• Apply strong software engineering practices including automated testing, CI/CD, telemetry, code review, secure development, and production support.
• Partner closely with the Enterprise Architecture and Data Platform teams to establish scalable integration patterns, data access approaches, and technical standards for enterprise AI.
• Collaborate with business stakeholders and the Product AI Platform team to understand use cases, share platform patterns and learnings, and translate enterprise needs into reliable AI capabilities.
• Evaluate emerging AI models, agent frameworks, protocols, and platforms and help establish practical standards and reusable approaches for enterprise adoption.
• Mentor other engineers and contribute to a strong engineering culture around AI development and operations.
• What we’ll want you to have
• 5+ years of professional software engineering experience building, delivering, and supporting production software.
• Hands-on experience delivering LLM-powered or generative AI solutions into production, beyond prototypes or demonstrations.
• Experience building agentic AI solutions, including areas such as tool/function calling, RAG, orchestration, multi-step workflows, or autonomous/semi-autonomous execution.
• Experience implementing AI observability, evaluation, and monitoring, with an understanding of hallucination, output quality, drift, latency, usage, and cost.
• Strong understanding of enterprise security concepts including authentication, authorization, least privilege, sensitive-data protection, secrets management, and auditability.
• Experience integrating applications with enterprise APIs, data sources, identity systems, and cloud services.
• Experience with Claude in an enterprise or administrative context, such as enterprise access and administration, permissions, integrations/connectors, governance, usage monitoring, or solutions built using Claude.
• Strong experience with modern software engineering practices including APIs, automated testing, CI/CD, telemetry, and production support.
• Ability to evaluate tradeoffs across model capability, security, reliability, performance, maintainability, and cost.
• Strong collaboration and communication skills, with the ability to work across engineering, architecture, data, security, and business teams.
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