Engineer

Job Purpose

The Principal Engineer is a senior technical leader responsible for driving the design, implementation, and management of scalable, secure, and highly available AI solutions that power AOT’s portfolio of digital products for the public and private sectors. This role blends deep technical expertise with strategic thinking and hands-on leadership — setting architectural direction, championing AI-assisted engineering practices, and mentoring engineers to build the next generation of intelligent, cloud-native applications. The Principal Engineer partners closely with the Head of Engineering, product leaders and cross-functional teams to translate complex business and user needs into resilient, future-ready technical solutions grounded in open-source principles and modern cloud architecture.

Job Duties and Responsibilities

• Lead the end-to-end design, architecture and delivery of scalable, secure and highly available AI-powered solutions across AOT’s product portfolio.
• Define and evolve the technical vision for AI/ML platforms, including LLM-based applications, RAG pipelines, agentic workflows and ML model lifecycle management.
• Architect distributed, cloud-native systems leveraging AWS, Azure, and/or GCP — ensuring high availability, fault tolerance, observability and cost efficiency across multi-cloud environments.
• Champion the adoption of AI-assisted development practices (e.g.Claude Code, Cursor, GitHub Copilot or other agentic coding tools) to accelerate engineering velocity and elevate code quality across teams.
• Drive the evaluation, selection and integration of open-source frameworks, libraries, and platforms to build sustainable, vendor-agnostic solutions aligned with AOT’s hybrid-source philosophy.
• Provide hands-on technical leadership — writing production-grade code, building proof-of-concepts and prototypes, reviewing pull requests and shaping critical design decisions across multiple teams.
• Establish engineering excellence standards across security, performance, scalability, observability, accessibility and privacy compliance — with special focus on responsible and ethical AI practices.
• Mentor and grow senior engineers, tech leads and architects through coaching, design reviews, technical deep-dives and structured feedback — building a strong engineering bench.
• Partner with the Head of Engineering, Product and Solutions teams to align technical strategy with business outcomes, customer needs and long-term product roadmaps.
• Lead cross-team architectural reviews and serve as the principal authority on technical trade-offs, build-vs-buy decisions and platform standardization.
• Define and guide DevOps, SRE and MLOps practices — including CI/CD, infrastructure-as-code, model deployment, monitoring and continuous evaluation of AI systems.