Director, AI Engineering at Precisely US Jobs in Remote

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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. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!

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.

Overview:

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.

What you will do:

• 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

What we are looking for:

Required Skills and AI Knowledge:

• 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

This position is 100% remote anywhere in the US

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