Director, AI Engineering
About The Position
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. 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, accelerating cycle times, and enabling revenue.
Requirements
- 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.
Nice To Haves
- 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)
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
