Senior AI Platform Engineer
- Pay
- $117,200 – $157,500 per year
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Listed
- 19 days ago
Skills & highlights for this role
- Professional software engineering experience (5+ years)
- Production LLM or generative AI solution delivery
- Agentic AI solution development
- AI observability, evaluation, and monitoring
- Enterprise security concepts (authentication, authorization, least privilege, secrets management, auditability)
- Enterprise API and cloud service integration
- Modern software engineering practices (APIs, automated testing, CI/CD, telemetry, production support)
- Claude in an enterprise or administrative context
- Tradeoff evaluation across capability, security, reliability, performance, maintainability, and cost
- Cross-functional communication and collaboration
Also useful
- Reusable AI platform service design
- Guardrail and safety mechanism implementation
- Enterprise architecture collaboration
- Data platform collaboration
- Evaluation of emerging AI models and agent frameworks
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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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.
Pay and benefits
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
Equal opportunity and legal notices
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.
From Blackbaud's careers page, first listed on Rolev.ai on October 22, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Senior AI Platform Engineer role at Blackbaud?
The Senior AI Platform Engineer posting at Blackbaud states compensation of $117,200 – $157,500 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Blackbaud's official career site.
Where is the Senior AI Platform Engineer job at Blackbaud located?
Yes, this Senior AI Platform Engineer opening at Blackbaud is listed as Remote (US). Always check Blackbaud's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior AI Platform Engineer at Blackbaud?
For the Senior AI Platform Engineer role, Blackbaud highlights 5+ years of relevant experience; experience with Professional software engineering experience (5+ years), Production LLM or generative AI solution delivery, Agentic AI solution development, AI observability, evaluation, and monitoring, Enterprise security concepts (authentication, authorization, least privilege, secrets management, auditability), Enterprise API and cloud service integration. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior AI Platform Engineer position at Blackbaud?
This listing links directly to Blackbaud's Workday application page. You can apply directly on Blackbaud's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.