AI Engineer - Director
About the role
The role involves leading AI solution development and transformation programs across industries, focusing on enhancing customer experience, operational efficiency, and decision-making.
You will act as a trusted advisor to senior stakeholders, shaping AI strategies and roadmaps, and designing scalable multi-agent conversational AI and automation systems.
Your responsibilities include managing business development efforts, identifying market opportunities, and fostering strategic partnerships.
You will oversee and mentor cross-functional teams, promoting technical excellence and staying current with AI advancements.
Collaborating with platform teams from major cloud providers, you will develop AI capabilities within relevant ecosystems.
A strategic vision for AI offerings aligned with digital goals is essential, along with a commitment to ethical AI practices and innovation.
Qualifications
At least eight years of experience in AI/ML, data analytics, and cloud technology, with leadership roles in consulting or tech organizations.
Advanced degree in computer science, data science, engineering, or related field preferred; Bachelor’s degree required.
Deep expertise in Microsoft, AWS, or Google Cloud AI ecosystems, including agent build functionality for chatbots and virtual assistants.
Proficiency in designing AI-powered workflows and enterprise integrations (CRM, ERP).
Strong understanding of scaling AI solutions, MLOps, and ethical AI practices, with industry consulting insights.
Ability to lead teams, foster innovation, and work collaboratively within a professional environment.
Responsibilities
- Lead AI solution development and transformation programs
- Act as a trusted advisor to senior stakeholders
- Manage business development efforts and identify market opportunities
- Oversee and mentor cross-functional teams
- Collaborate with platform teams from major cloud providers
Qualifications
- At least eight years of experience in AI/ML, data analytics, and cloud technology
- Advanced degree in computer science, data science, engineering, or related field preferred
- Deep expertise in Microsoft, AWS, or Google Cloud AI ecosystems
- Proficiency in designing AI-powered workflows and enterprise integrations
- Strong understanding of scaling AI solutions and ethical AI practices