[Hiring] Director, AI Engineering @Precisely US Jobs

Role Description

Precisely is hiring a Director of AI Engineering to lead the design, development, and deployment of internal enterprise AI solutions that drive business transformation and operational efficiency. This is a hands-on technical leadership role responsible for building AI systems, setting engineering standards, and leading a team of AI engineers. The role spans the Microsoft Copilot Studio, Azure AI Foundry, and Claude Enterprise ecosystems, delivering AI-based employee experiences, and automating and augmenting workflows that reduce cost, accelerate cycle times, and enable revenue.

• Design and operationalize agentic AI systems with multi-step workflows, orchestration frameworks, and human-in-the-loop patterns.
• Architect and build AI systems including agentic workflows, RAG pipelines, evaluation harnesses, orchestration layers, and prompt engineering.
• Prototype new AI patterns and capabilities to stay ahead of the rapidly evolving landscape.
• Set technical standards through code reviews, design documentation, and reference implementations.
• Hire, mentor, and develop an agile team of AI engineers.
• Represent AI engineering in executive discussions, vendor partnerships (Microsoft, Anthropic), and cross-functional planning.
• Define data requirements for AI models and validate pipeline quality, governance, and freshness.
• Coordinate with Enterprise Applications to integrate AI capabilities into existing business systems (Salesforce, NetSuite, Workato) without creating parallel systems or integration debt.
• Prioritize AI use cases that enhance enterprise workflows through intelligent automation, predictive insights, and embedded copilot experiences.
• Align on shared data models, integration patterns, and change management processes.

Qualifications

• 10+ years in software engineering with current, deep technical fluency and active production coding.
• 2+ years leading or mentoring engineering teams (formal management or tech-lead experience).
• Daily use of AI-assisted developer tools (GitHub Copilot, Claude Code, Cursor, or equivalent).
• Strong architecture skills in cloud-native AI on Microsoft Azure (Azure AI Services, Azure OpenAI, Entra ID, Microsoft Graph).
• Demonstrated ability to co-architect across platform, data, and enterprise application teams.
• Track record of translating ambiguous business problems into shipped AI solutions.
• Experience establishing AI governance, evaluation, and quality frameworks.
• Ability to communicate complex technical concepts to executive and non-technical audiences.

Preferred Skills

• Background in data integration, data quality, or master data management.
• Experience with enterprise application ecosystems (Salesforce, NetSuite, Workato, ServiceNow).
• Knowledge of AI regulatory frameworks (NIST AI RMF, EU AI Act, ISO 42001).

Benefits

• This position is 100% remote anywhere in the US.