Principal AI Engineer

Teradata; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Teradata seeks a Senior Individual Contributor to lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Teradata's AI Platform.

You will architect and build AI-driven agents for observability, automated root cause analysis, anomaly detection, and productivity optimization, integrating across telemetry, applications, and cloud infrastructure.

Qualifications

• 8+ years of software engineering experience in production AI/ML systems.
• Proven track record building AI agents or autonomous workflows.
• Strong Python and at least one of Java/Go.
• Experience with distributed systems and observability architectures.

Responsibilities

• Lead design and development of AI-native agentic workflows to boost productivity and reliability.
• Architect and deploy AI agents for observability, root-cause analysis, and MTTR improvement.
• Integrate agentic workflows across telemetry pipelines and cloud infrastructure.
• Develop AI-driven tooling to accelerate development velocity and reduce toil.
• Apply LLMs, reasoning frameworks, and AI patterns to automate debugging and diagnostics.
• Collaborate with teams to embed intelligent automation into CI/CD, DevOps, and support workflows.

Skills

Python

Java or Go

Tools

OpenTelemetry

Prometheus

LLMs in production

Job description

Solid product experience and an educational background from Tier-1 universities are preferred.

Exp Level - 8+ years

What You'll Do

• Lead the design and development of AI-native agentic workflows that enhance engineering productivity, observability intelligence, and end-to-end operational excellence across Teradata's AI Platform.
• This is a Senior Individual Contributor role focused on building and deploying intelligent agents - not just integrating automation tools, but architecting AI-driven systems that reason, analyze, and act across telemetry, applications, and workflows.
• Architect and build AI agents for observability, automated root cause analysis, anomaly detection, and engineering productivity optimization.
• Design agentic workflows that integrate across telemetry pipelines, application stacks, and cloud infrastructure.
• Develop AI-driven tooling to accelerate development velocity, reduce operational toil, and improve MTTR.
• Apply LLMs, reasoning frameworks, and advanced AI patterns to automate complex debugging and system diagnostics.
• Drive AI-native development practices across apps, tooling, and platform engineering.
• Partner across engineering teams to embed intelligent automation into CI/CD, DevOps, and support workflows.
• Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce.
• Your work will directly shape how Teradata builds, monitors, and operates its AI-powered platform. Success in this role means measurable improvements in engineering efficiency, system reliability, and autonomous operations maturity.

Who You'll Work With

• Build the AI Platform tooling, automation, and agentic frameworks that power next-generation applications and operational intelligence at Teradata.
• You will report directly to the VP, AI Apps Tooling & Automation - AI Platform.
• The team drives AI-first application development, intelligent DevOps tooling, and agent-based productivity systems.
• We enable engineering teams across the company to leverage AI responsibly and effectively.
• We partner with AI research, platform engineering, cloud operations, and product teams to integrate observability and automation into the core platform.
• We collaborate with colleagues who share a commitment to leveraging AI responsibly, ensuring our people and customers benefit from the opportunities AI creates.
• This team plays a foundational role in advancing Teradata's AI-first strategy by transforming how software is built and operated.

What Makes You a Qualified Candidate

• 8+ years of experience in software engineering with deep exposure to AI/ML systems in production environments.
• Proven experience building AI agents, LLM-driven systems, or autonomous workflows - not just consuming AI APIs.
• Strong programming expertise in Python (required) and at least one of Java or Go.
• Experience working with distributed systems, telemetry data, and observability architectures.
• Foundational AI skills, including prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and the ability to apply AI to improve engineering and operational outcomes.

What You'll Bring

• Experience building agentic systems for observability, automated remediation, or intelligent diagnostics (ideal background from AI-native or data observability companies such as Acceldata).
• Familiarity with OpenTelemetry, Prometheus, distributed tracing systems, or similar observability stacks.
• Hands-on experience integrating LLMs into production workflows with proper guardrails and evaluation mechanisms.
• Strong understanding of AI-assisted development tooling and productivity optimization.
• Experience designing multi-step reasoning workflows and autonomous decision agents.
• Systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end.
• Strong communication skills with the ability to influence senior engineers and product leaders.
• A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things.