About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
We are seeking a senior, well-rounded leader to head our AI Solution Engineering team. This role is pivotal in driving the design, implementation, and scaling of human-in-the-loop AI annotation workflows. You will lead a global team of engineers, coach them toward technical and delivery excellence, and manage complex stakeholder relationships across regions and functions.
Key Responsibilities
- Lead and grow a globally distributed team of AI Solutions Engineers
- Drive the technical execution of scalable, high-performance AI annotation workflows
- Coach engineers on best practices, architecture fundamentals, and delivery maturity
- Own stakeholder relationships across product, engineering, and delivery teams
- Translate business needs into actionable engineering plans and outcomes
- Ensure solutions meet enterprise standards for performance, security, and scalability
- Champion innovation and continuous improvement in tooling and workflow design
Ideal Candidate Profile
- 10+ years of experience in engineering leadership, preferably in AI/ML or data-centric environments
- Deep understanding of human-in-the-loop systems, annotation tooling, and AI workflows
- Strong organizational leadership and stakeholder management skills
- Proven ability to influence without authority and drive alignment across diverse teams
- Comfortable operating independently in a different region/time zone, with a strong ownership mindset
- Excellent communicator with strategic thinking and execution focus
What You Bring
- Strong experience with AI/ML systems and human-in-the-loop workflows
- Deep understanding of HITL annotation tooling and schema design
- Solid coding skills in Python and working with APIs
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with data pipelines and scalable engineering practices
- Proven ability to apply UX principles to annotation tool design for usability and efficiency
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Top Skills
What We Do
Zero distance innovation for GenAI creators and industries
Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment
We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.
We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.
These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
