AI Engineering Lead

Finastra•Atlanta, GA

1d•Hybrid

About The Position

As part of Finastra’s AI COE, we are seeking for an Engineering Lead to oversee engineering teams and to successfully embed AI capabilities into customer service products.

Requirements

Understanding of customer service and service domains
Proven track record of delivering front end applications
Deep understanding of full-stack development including front-end, back-end, and infrastructure
Experience in delivering cloud native applications
Expertise in modern software development methodologies including agile and lean practices
Demonstrated ability to partner effectively with product owners and translate requirements into technical solutions
Experience leading teams through the complete software development lifecycle
Strong technical skills with hands-on experience in software architecture and design
Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
Track record of building high-performing, collaborative engineering teams
Strong problem-solving abilities with focus on pragmatic, scalable solutions
Understanding of software quality practices including testing, code reviews, and technical documentation

Responsibilities

Hire, lead and manage a cross-functional engineering team including front-end, back-end, and DevOps specialists
Partner closely with the Customer Service Product Owner to translate product vision and requirements into technical solutions
Oversee the design, development, and deployment of AI-enabled features for customer service AI products (e.g. chatbots, troubleshooting, and automated ticketing solutions, etc)
Establish engineering standards, best practices, and quality benchmarks for the development team
Ensure technical excellence across all aspects of development including code quality, testing, and documentation
Manage sprint execution, technical planning, and resource allocation across the engineering team
Foster collaboration and knowledge sharing across front-end, back-end, AI, and DevOps disciplines
Remove technical blockers and resolve dependencies that impact team productivity and delivery
Monitor system performance, reliability, and scalability, implementing improvements as needed
Mentor and develop engineering talent, providing technical guidance and career development service
Ensure engineering solutions meet security, compliance, and governance requirements
Collaborate with architecture and infrastructure teams to leverage shared platforms and services
Drive continuous improvement in engineering processes, tools, and team capabilities
Manage technical debt and balance feature delivery with platform stability and maintainability