Director, Data and AI Engineering Full Time

This is a high-impact hybrid leadership role sitting at the intersection of data engineering, AI/ML innovation, and platform architecture. You will define and scale the core data infrastructure and AI capabilities powering a real-time, multilingual communication platform used globally. The role combines strategic ownership of the modern data stack with hands-on development of LLM-based and agentic AI solutions. You will lead a small but high-performing engineering team while shaping how data is ingested, modeled, and transformed into actionable intelligence. Working closely with product and technical leadership, you will enable scalable analytics, automation, and AI-driven features that directly improve operational efficiency and customer experience. This position is ideal for a builder who thrives in fast-moving environments and enjoys solving complex, system-level problems.

Accountabilities

• Own the end-to-end data architecture and strategy, including ingestion, transformation, warehousing, and analytics using tools such as Fivetran, dbt, and Snowflake, while ensuring data quality, governance, and scalability across the organization.
• Lead, mentor, and grow a team of 3-5 data and AI engineers, setting priorities, managing performance, and building a culture of technical excellence and accountability.
• Drive the design and implementation of AI/ML solutions, including LLM integrations, agentic workflows, and intelligent automation use cases such as QA, routing, and contextual processing.
• Develop and maintain analytics and BI infrastructure, enabling reliable reporting, dashboards, and data-driven decision-making across business teams.
• Oversee operational excellence across data and AI systems, optimizing performance, managing infrastructure costs, and enforcing best practices in CI/CD, testing, version control, and documentation.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field; Master’s preferred.
• 5+ years of experience in data engineering, software engineering, or ML engineering, including at least 2+ years in a leadership or management role.
• Strong hands-on expertise with Snowflake, dbt, Fivetran (or similar ELT tools), Python, SQL, AWS Lambda, and LLM APIs (AWS Bedrock, Anthropic Claude, or OpenAI).
• Experience building and deploying AI/ML or LLM-powered systems in production environments, with familiarity in agentic frameworks and modern AI architectures considered a plus.
• Proven ability to lead and develop engineering teams, manage hiring and performance, and operate in fast-paced, decentralized environments.
• Strong communication skills with the ability to translate technical concepts into business impact and collaborate effectively across technical and non-technical stakeholders.
• Experience with modern data and AI ecosystem tools (Airflow, vector databases, BI tools, cloud infrastructure) is highly valued.

Benefits

• Competitive compensation package aligned with experience and market standards
• Flexible work environment with hybrid or remote collaboration options
• Opportunity to lead and shape high-impact AI and data initiatives
• Exposure to cutting-edge AI/ML technologies and modern data stack tools
• Collaborative, mission-driven engineering culture focused on innovation
• Professional growth opportunities within a scaling technical organization.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.