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Senior principal ML role, non-metro location, and lesser-known employer reduce applicant competition.
Requires deep ML/AI, MLOps and multi-cloud platform expertise, limiting cross-industry transferability.
Explicit 12+ years plus required principal-level ML, cloud, and platform experience creates highly strict shortlisting.
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Lead the design, architecture, and delivery of scalable, secure AI-powered solutions for AOT's digital product portfolio.
Define and evolve technical vision for AI/ML platforms including LLM-based applications, RAG pipelines, and ML lifecycle management across multi-cloud environments.
Provide hands-on leadership through coding, mentoring senior engineers, setting engineering standards, and aligning technical strategy with business outcomes.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
12+ years of professional software engineering experience, including at least 3 years in a principal, staff engineer, or architect role.
Demonstrated experience architecting large-scale AI/ML or data-intensive cloud solutions and operating distributed, highly available systems.
Proficiency in multiple cloud platforms (AWS, Azure, GCP), backend programming (Python, Java, Node.js, Go), AI/ML frameworks, and DevOps/MLOps tools.
Senior technical leader with experience in architecting and delivering production-grade AI/ML systems in enterprise or public sector contexts.
Hands-on engineer capable of writing code, building prototypes, and operationalizing AI-assisted development tools and workflows at scale.
Strategic thinker able to lead cross-team alignment, mentor senior engineers, and drive adoption of engineering best practices in cloud-native, multi-cloud environments.