Principal AI Engineer
$230k - $250kHarnham
Principal AI Engineer Brooklyn, NY (Hybrid) - 3 Days Onsite $230,000 - $250,000 Base + Bonus + RSUs (~$350K Total Comp) THE COMPANY
Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world's most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.
RESPONSIBILITIES
Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world's most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.
RESPONSIBILITIES
- Own architecture and technical design across the Cloud Audit platform.
- Define and drive AI integration strategies across audit and assurance products.
- Lead integration efforts between multiple B2B shared platform services.
- Design scalable AI orchestration frameworks supporting agents, LLM workflows, tool calling, and multi-step reasoning systems.
- Establish standards and best practices for AI-native application development, experimentation, and platform architecture.
- Partner closely with Product, AI Labs, UX, Infrastructure, and Engineering leadership to execute strategic initiatives.
- Architect high-throughput distributed systems handling millions of documents and large-scale audit workloads.
- Drive platform reliability, observability, resiliency, and performance optimization initiatives.
- Design reusable APIs, shared services, and platform components to support multiple products and engineering teams.
- Mentor senior and staff engineers while fostering an AI-forward engineering culture.
- Help define and execute the long-term technical roadmap for Cloud Audit Suite.
- BS degree in Computer Science, Computer Engineering, or a related technical discipline.
- 8-10+ years of experience in software engineering, architecture, or platform engineering roles.
- Deep expertise with C#, .NET, and ASP.NET Core.
- Strong Python experience supporting AI, machine learning, or intelligent application workflows.
- Experience designing and operating large-scale distributed systems and microservices architectures.
- Strong full-stack development background utilizing technologies such as React, Angular, TypeScript, JavaScript, HTML, and CSS.
- Experience designing and integrating scalable APIs and enterprise platform services.
- Hands-on experience with AWS cloud infrastructure.
- Strong experience with SQL Server, PostgreSQL, or similar database technologies.
- Experience architecting and operating production AI systems utilizing LLMs, agents, retrieval systems, and AI-native application patterns.
- Proven track record of owning enterprise-scale systems from architectural design through long-term production operation.
- Excellent communication and stakeholder management skills.
- Experience leading technical initiatives across multiple products and engineering organizations.
- Experience integrating OpenAI, Anthropic, or other production-grade LLM providers.
- Knowledge of agent architectures, MCP servers, AI orchestration frameworks, and AI platform design.
- Experience with vector databases, embeddings, semantic search, and retrieval architectures.
- Familiarity with actor-model frameworks such as Orleans or Akka.
- Experience designing scalable CI/CD pipelines using GitHub Actions or similar technologies.
- Experience supporting applications in highly regulated industries such as audit, tax, finance, legal, or compliance.
- Knowledge of AI reliability, evaluation, testing, governance, and safety frameworks.
- Experience designing systems that account for non-deterministic AI behavior.
- Customer-facing technical leadership experience.
Vacancy posted 1 day ago
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