Principal Software Engineer - AI/ML System
Senior individual contributor (8+ yrs) who architects and builds AI agents and agentic workflows for observability, root-cause analysis, and engineering productivity on Teradata's AI Platform. Day-to-day is hands-on LLM and reasoning-framework development in Python plus Java or Go, wired into telemetry pipelines and cloud infrastructure.
- Compensation
- Not disclosed
- Location
- Hyderabad; Bangalore
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 8+ years of software engineering experience with deep exposure to AI/ML systems in production
- Proven experience building AI agents, LLM-driven systems, or autonomous workflows (not just consuming AI APIs)
- Strong programming expertise in Python
- Experience with at least one of Java or Go
- Experience with distributed systems, telemetry data, and observability architectures
- Foundational AI skills: prompt engineering, model evaluation, agent orchestration, reasoning frameworks
Nice to have
- Solid product experience and educational background from Tier-1 universities
- Experience building agentic systems for observability, automated remediation, or intelligent diagnostics (e.g. 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 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 connecting AI models, data pipelines, and operational workflows end-to-end
- Strong communication skills with ability to influence senior engineers and product leaders
Full description
Principal Software Engineer.
Bangalore/Hyderabad (hybrid).
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.