AI Platform Engineer

Blackbaud, Inc.
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$117,000.0 - $158,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture User Authentication Automation of Tests Code Review Continuous Integration Data Infrastructure Data Security Key Management Machine Learning Role-Based Access Control
+14 more
Cloud Services Secure Coding Software Engineering Data Processing Retrieval-Augmented Generation Large Language Models Hallucination Detection Agentic-AI AI Platforms Low Latency Machine Learning Operations Claude Drift Detection Invoking Functions

Job description

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.

Requirements

  • 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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Benefits & conditions

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

About the company

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.

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