Responsibilities:
Strategic Leadership: Define and own the AI and automation roadmap in alignment with AGR’s product and business goals. • Evaluate and integrate emerging technologies that can elevate our competitive edge and client value proposition. • Collaborate with business leaders to identify opportunities for AI-led transformation. • Ensure that all AI and automation initiatives are aligned with contributing directly to revenue growth, cost efficiency, and business profitability
Architecture & Systems Design: Architect and design scalable, modular, and secure AI/ML solutions • Oversee the development and deployment of robust data pipelines, APIs, and AI models • Drive decisions around infrastructure, tools, and frameworks with a long-term perspective • Evaluate and integrate new technologies that can enhance our product offerings
Team & Execution: Build, mentor, and manage a high-performing team of data scientists, ML engineers, and developers • Be hands-on in model development, code reviews, performance optimization, and troubleshooting • Foster a culture of continuous learning, experimentation, and engineering excellence. • Troubleshoot complex technical issues and guide the team through solutions
Process Optimization: Establish and refine development processes including coding standards, testing protocols, and release procedures • Create and maintain documentation for technical processes and product features • Implement agile methodologies tailored to the team's needs • Set up Standard Operating Procedures (SOPs) for development, deployment, and maintenance • Develop metrics to track development velocity, quality, and team performance
Client Engagement & Custom Development: Work closely with client-facing teams to understand and translate client needs into technical solutions. • Lead the development and delivery of customized AI applications and solutions for clients. • Ensure timely, high-quality execution and implementation of solutions, with clear documentation and support. • Define product roadmaps and prioritize features based on business impact and technical feasibility • Ensure product development aligns with customer expectations through regular feedback loops • Balance feature development with technical debt management and system stability
