3 days ago
Base Salary
$117k - $158k/yr
Responsibilities
- Design, build, test, deploy, and support production agentic and LLM-powered solutions.
- Build reusable AI platform services, integration patterns, guardrails, and reference implementations.
- Design security controls covering identity, authorization, least privilege, sensitive-data handling, auditability, and secure integrations.
- Implement AI observability, evaluation, and monitoring for quality, hallucinations, drift, failures, latency, token consumption, and cost.
- Detect, troubleshoot, contain, and remediate unexpected or unsafe agent behavior.
- Optimize model selection, context management, agent workflows, reliability, performance, and cost.
- Apply automated testing, CI/CD, telemetry, code review, secure development, and production support practices.
- Partner with Enterprise Architecture and Data Platform teams on integration patterns, data access, and technical standards.
- Collaborate with business stakeholders and the Product AI Platform team to translate enterprise needs into reliable AI capabilities.
- Evaluate emerging AI models, agent frameworks, protocols, and platforms and establish reusable enterprise approaches.
- Mentor engineers and contribute to an AI engineering and operations culture.
Requirements
- At least 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.
- Experience building agentic AI solutions involving tool or function calling, RAG, orchestration, multi-step workflows, or autonomous and semi-autonomous execution.
- Experience implementing AI observability, evaluation, and monitoring.
- Strong understanding of enterprise security, 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, including access, permissions, integrations, governance, usage monitoring, or solutions built with Claude.
- Strong experience with APIs, automated testing, CI/CD, telemetry, and production support.
- Ability to evaluate tradeoffs involving model capability, security, reliability, performance, maintainability, and cost.
- Strong collaboration and communication skills across engineering, architecture, data, security, and business teams.
Benefits
- Medical, dental, and vision insurance.
- Remote-flexible workforce.
- Wellness programs.
- 401(k) program with employer match.
- Flexible paid time off.
- Generous parental leave.
- Donations for Doers program.
- Pet insurance, legal protection, and identity protection.
- Tuition reimbursement program.
Categories
About Blackbaud
Blackbaud builds cloud software for nonprofits, schools, arts and cultural institutions, healthcare, and corporate social impact teams, spanning fundraising CRM, digital giving, grantmaking, financials, and education management. Its portfolio includes SaaS products such as Raiser's Edge NXT, Financial Edge NXT, and platforms like JustGiving and YourCause. Founded in 1981 and headquartered in Charleston, South Carolina, Blackbaud is a public company traded on the NASDAQ (BLKB).