Principal Engineer AI Solutions

Your Role and Impact

As a Principal Engineer, you will:

• Lead the innovative design and development of AI-driven workflows that boost engineering productivity, observability intelligence, and operational excellence within Teradata's AI Platform.
• Function as a Senior Individual Contributor focused on creating and deploying intelligent agents—architecting AI-driven systems that can reason, analyze, and act across telemetry, applications, and workflows.
• Architect and develop AI agents for observability, automated root cause analysis, anomaly detection, and optimization of engineering productivity.
• Design agentic workflows that seamlessly integrate across telemetry pipelines, application stacks, and cloud infrastructures.
• Create AI-powered tools that accelerate development speeds, minimize operational toil, and enhance mean time to recovery (MTTR).
• Utilize large language models (LLMs), reasoning frameworks, and advanced AI methodologies to automate sophisticated debugging and system diagnostics.
• Promote AI-native development practices across applications, tooling, and platform engineering.
• Collaborate with various engineering teams to embed intelligent automation into CI/CD, Dev Ops, and support workflows.
• Leverage AI expertise to explore and implement methods that enhance productivity, innovation, and impact across our workforce.
• Shape how Teradata builds, monitors, and operates its AI-enhanced platform, resulting in tangible improvements in engineering efficiency and system reliability.

You will be part of a team that:

• Develops the AI Platform tooling, automation, and agentic frameworks vital for next-generation applications and operational intelligence at Teradata.
• Works directly under the guidance of the VP, AI Apps Tooling & Automation - AI Platform.
• Drives AI-first application development, intelligent Dev Ops tooling, and systems enhancing productivity.
• Empowers engineering teams to effectively and responsibly leverage AI.
• Partners with AI research, platform engineering, cloud operations, and product teams to integrate observability and automation into the foundational platform.
• Aims to enhance Teradata's AI-first strategy through innovative software development and operational methods.

• 8+ years of experience in software engineering with a strong focus on AI/ML systems deployed in production settings.
• Demonstrated ability to build AI agents, LLM-driven systems, or automated workflows—moving beyond merely utilizing AI APIs.
• Proficiency in Python (mandatory) and familiarity with either Java or Go.
• Experience in distributed systems and observability architectures.
• Foundational AI skills such as prompt engineering, model assessment, and agent orchestration.

• Experience developing agentic systems for observability, automated problem-solving, or intelligent diagnostics, ideally from AI-focused or data observability firms.
• Knowledge of observability stacks like Open Telemetry, Prometheus, or distributed tracing systems.
• Hands-on experience incorporating LLMs into operational workflows, following best practices for safety and evaluation.
• In-depth understanding of AI-assisted development tools and strategies for optimizing productivity.
• Capability to design multi-step reasoning workflows and autonomous decision-making agents.
• A holistic, systems-thinking approach connecting AI models, data pipelines, and operational processes.
• Effective communication skills with the ability to influence senior engineers and product stakeholders.
• A passion for unleashing the potential of AI to enhance our teams and communities.

Our compensation package ranges between $217,300 and $325,900 annually. The starting pay for successful candidates will be determined by geographic location, internal equity, job-related skills, knowledge, and experience. Our permanent roles offer eligibility for annual incentive plans based on financial and individual performance metrics.

Employees in this role can participate in a comprehensive benefits package that includes healthcare options, life and disability insurance, a 401(k) retirement savings plan, and generous time-off programs. More information regarding benefits, including eligibility, will be provided during the hiring process.