Lead Engineer Artificial Intelligence

Job Title: AI Technical Lead
Location: Bengaluru, work from Avaali office
Reports to: CTO

Key Responsibilities:

1. Develop and Execute AI Initiatives
Collaborate closely with business stakeholders at all levels to identify and implement AI-driven solutions that address key pain points and deliver measurable outcomes.
Actively participate in multidisciplinary and cross-functional (fusion) teams to support the entire lifecycle of AI projects—from ideation to execution.
Stay on top of cutting-edge AI trends, innovations, and best practices in the industry while leveraging these insights to deliver impactful solutions.

2. Design and Implement AI Solutions
Architect AI-based solutions that align with Avaali's vision of operational cost optimization and margin improvement for clients.
Ensure that all AI solutions are scalable, secure, governed, and adhere to applicable regulations and compliance standards.
Create personalized solutions aligned with specific business requirements and ensure the delivery of high-quality outcomes.

3. Build and Scale the AI Practice in collaboration with the CTO
Develop and implement standardized methodologies, frameworks, and best practices to drive consistency and excellence across AI initiatives.
Create knowledge-sharing forums, training modules, and certifications to upskill internal teams and establish Avaali as a center of excellence for AI.

This person would support the CTO in this area (he/she will be an important team member in this activity)

Required Skills and Competencies:
Deep knowledge of AI/ML technologies, frameworks, and platforms, including hands-on experience with AI-based tools and cloud ecosystems.
Strong expertise in designing enterprise-class AI systems that balance innovation with security, governance, and compliance needs.
Proven track record of managing large-scale AI initiatives across industries, including successful implementation of impactful solutions.
Outstanding analytical and problem-solving skills combined with a strategic mindset that embraces emerging opportunities.

Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degrees preferred.
Minimum 8 years of experience including in AI leadership roles, ideally including consultancy or enterprise environments.
Demonstrated success in building and scaling AI capabilities and teams.
Experience defining and managing budgets for AI initiatives while delivering cost-effective outcomes.