Within Platform Engineering and Enterprise AI Services the Senior Engineer Enterprise AI Services is responsible for designing building and operating observability capabilities for AI and LLM workloads that power TRs AI-driven products. This role ensures our AI systemsfrom classical ML to generative AIare observable debuggable reliable and continuously improving across TRs multi-cloud footprint (AWS Azure GCP) and internal Kubernetes platform.
You will own the end-to-end observability stack for AI (with Braintrust as foundational platform) enabling product teams data scientists and AI engineers to understand model behavior in production detect issues early and make data-driven improvements to model quality latency and cost.
The successful candidate will help build the next generation of TRs AI observability and evaluation platform working alongside cloud engineering data engineering Enterprise AI Services and product teams.
About the Role
In this opportunity as a Senior Engineer Enterprise AI Services you will:
Serve as the Kubernetes expert for AI services defining and operating deployment standards for scalability resilience security and performance.
Own the AI observability platform implementing tools such as Braintrust and Langfuse to support tracing evaluation analytics and monitoring of LLM/ML workloads.
Define and standardize telemetry across AI products including traces metrics logs evaluations and feedback while ensuring governance privacy and auditability requirements are met.
Build telemetry pipelines dashboards and reporting that provide clear visibility into model performance quality safety reliability and cost.
Establish monitoring alerting SLOs/SLIs and incident response practices for AI systems including root cause analysis and continuous improvement.
Integrate observability and evaluation into CI/CD so new models prompts and workflows are automatically enrolled in monitoring and quality controls.
Partner with Product Data Science AI Engineering SRE Platform and Cloud teams to onboard new AI use cases support experimentation and drift detection and implement guardrails and policy enforcement.
About You
Youre a fit for the role of Senior Engineer if you have the following required qualifications:
Strong understanding of LLM/ML fundamentals and production AI systems including prompting context windows RAG hallucinations and model/provider variability and capacity.
Hands-on experience with AI observability and evaluation platforms with Braintrust and/or Langfuse strongly preferred. Solid background with modern observability tooling ideally Datadog.
Deep Kubernetes experience deploying and operating services in production including Helm-based releases ingress/service networking scaling and troubleshooting.
Proficiency in Python plus at least one additional backend or platform language such as TypeScript/JavaScript Go or Java. C# is an asset.
Experience with API workloads across AWS Azure or GCP including custom endpoints and cloud-native production environments.
5 years in SRE Observability Engineering ML Platform or similar roles including 2 years supporting production LLM/ML systems preferably in enterprise or regulated environments.
Additional preferred qualifications include:
Strong collaboration and communication skills with the ability to work effectively across Product Engineering Data Science SRE and Cloud teams.
Experience working in Agile environments with familiarity in iterative delivery sprint planning backlog refinement and cross-functional team execution.
Demonstrated curiosity about AI technologies and a strong willingness to learn adapt and stay current with the rapidly evolving LLM/ML landscape.
Strong problem-solving skills sound judgment during incidents and a continuous improvement mindset.
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Whats in it For You
Hybrid Work Model: Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities whether caring for family giving back to the community or finding time to refresh and reset. This builds upon our flexible work arrangements including work from anywhere for up to 8 weeks per year empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow lead and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation two company-wide Mental Health Days off access to the Headspace app retirement savings tuition reimbursement employee incentive programs and resources for mental physical and financial wellbeing.
Culture: Globally recognized award-winning reputation for inclusion and belonging flexibility work-life balance and more. We live by our values: Obsess over our Customers Compete to Win Challenge (Y)our Thinking Act Fast / Learn Fast and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental Social and Governance (ESG) initiatives.
Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice truth and transparency. Together with the professionals and institutions we serve we help uphold the rule of law turn the wheels of commerce catch bad actors report the facts and provide trusted unbiased information to people all over the world.
About Us
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