
Ai Engineering Lead
20 hours ago
**About the Role**
We are looking for an experienced **AI Engineering Lead**to drive the design, development, and deployment of enterprise-grade AI and GenAI solutions. This role will lead a small but growing engineering team, work closely with data scientists, product managers, and business stakeholders, and be responsible for scaling AI capabilities across the organization.
**Key Responsibilities**
- Lead the end-to-end development and deployment of AI/GenAI solutions, from proof-of-concept to enterprise-scale implementation.
- Build and manage a high-performing AI engineering team, providing technical leadership, mentorship, and best practices.
- Collaborate with business units to identify AI/ML opportunities and translate them into scalable technical solutions.
- Design system architecture to ensure solutions integrate seamlessly with existing enterprise IT and data infrastructure.
- Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
- Drive adoption and change management by ensuring usability, performance, and business impact of AI solutions.
**Qualifications**
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 7+ years of experience in software engineering, with at least 3+ years in AI/ML solution development.
- Proven experience deploying AI/ML or GenAI solutions at enterprise scale (not just PoCs).
- Strong hands-on experience with Python, TensorFlow, PyTorch, or other ML frameworks.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices.
- Solid understanding of system design, APIs, and enterprise integration.
- Strong stakeholder management and ability to work in complex, cross-functional environments.
- Prior team leadership experience preferred.
**Nice to Have**
- Experience in large-scale enterprise environments.
- Familiarity with data governance, security, and compliance in AI.
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