AI Technical Lead

Job DescriptionRole: AI Technical Lead - Backend DevelopmentExperience Required: 9–11 years Skills: Java, Node.js, Python, AWS, AI Developer ToolsKey ResponsibilitiesAI Adoption & Developer EnablementChampion the adoption of GitHub Copilot and other AI developer tools across engineering teams.Train and mentor developers on AI-assisted coding, effective prompting, test generation, and documentation acceleration.Establish best practices, coding standards, and governance guidelines for AI-driven software development.Identify opportunities to reduce development time and improve code quality using AI tools.Backend Development (Hands-On)Design, develop, and maintain backend services using Java, Node.js, or Python.Architect scalable systems using serverless, containerized, and microservices patterns on AWS.Integrate AI logic into backend workflows, APIs, and event-driven architectures.Develop secure, efficient, and production-ready code aligned with enterprise standards.Technical LeadershipLead design reviews and provide architectural guidance.Mentor junior engineers and support teams in adopting modern AI development practices.Collaborate closely with product owners, cloud engineers, and DevOps teams to deliver AI-enabled solutions.Define AI adoption roadmaps and help scale AI maturity across the organization.Cloud & Data IntegrationBuild and optimize AI workloads on AWS using Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and Step Functions.Partner with data engineering teams to prepare datasets and support feature engineering for AI solutions.Ensure adherence to security, governance, and cloud best practices.Required Skills & Qualifications6–8 years of backend engineering experience using Java, Node.js, or Python.1–2 years of hands-on experience with AI-enabled development or AI integration.Practical experience with GitHub Copilot or similar AI coding tools.Strong experience integrating AI/ML solutions using cloud-native services (preferably AWS).Solid understanding of API design, microservices architecture, and distributed systems.Hands-on experience with AWS compute, storage, networking, and IAM.Familiarity with DevOps, CI/CD pipelines, and Git-based version control.Excellent communication and mentoring skills to guide teams on AI adoption.RequirementsExperience (Years): 4-6 Essential Skills: • Work with project teams throughout the organization to design, implement, and manage CDN infrastructure using Akamai, to ensure high availability, performance, and scalability for customer facing applications and business processes. • Handle multiple priorities and assignments with excellence and precision. • Be a part of a 24/7/365 organization (some after hours support is expected as part of normal on-call rotation). • Directly support line of business development teams, provide guidance to them on implementation and changes for customer facing applications • Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats. • Monitor and analyze network performance, identifying and resolving issues to optimize content delivery of critical applications. • Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications. • Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN. • Provide technical support and guidance to clients and internal teams regarding CDN and security best practices. • Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications: • Bachelor’s degree in Computer Science, Information Technology, or a related field. OR similar work experience. • Strong understanding of network protocols (HTTP/HTTPS, DNS, TCP/IP). • Proven experience as a CDN Engineer or similar role, with a strong focus on cybersecurity. • In-depth knowledge of Content Delivery Network technologies, including caching, load balancing, and content optimization. • Excellent problem-solving skills and attention to detail. • Strong communication and teamwork abilities. • Experience supporting 24/7/365 customer facing applications at enterprise scale. • Awareness and experience with cybersecurity tools and practices, such as firewalls, intrusion detection/prevention systems, and encryption. • Proficiency in scripting and automation (e.g., Python, Bash) a plus. • Relevant certifications (e.g., CISSP, CEH) are a plus but not required.