Job description

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. Stay up to date on everything Blackbaud, follow us on Linkedin , Twitter , Instagram , Facebook and YouTube Blackbaud powers social impact through purpose‑driven technology and responsible AI. Guided by our Intelligence for Good® vision, we’re building a culture where innovation, trust, and human expertise come together to help organizations make a greater difference in the world. Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. The starting base pay is $117,200.00 to $157,500.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations. Benefits Include: 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 Pet insurance, legal and identity protection Tuition reimbursement program

Requirements

Must-haves

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.
Stay up to date on everything Blackbaud, follow us on Linkedin , Twitter , Instagram , Facebook and YouTube

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness