Your opportunity

As a Principal AI Engineer at New Relic, you will play a pivotal role in shaping the future of our AI-driven observability solutions. Your work will involve translating business roadmaps into technical requirements and architectures, developing a state-of-the-art Agentic AI platform with specialized agents and modular tools for discovery, navigation, context, and decision-making. You will help us utilize AI to empower users to understand their data and systems, reason, plan, and act with actionable insights from massive data sets. You will also lead the charge in integrating AI as a distributed capability across all product areas, driving innovation and scalability in our observability platform

What you'll do

  • Architect and Develop: Design and implement our Agentic AI platform, comprising specialized agents for analysis and streaming data across observability products like anomaly detection, error outliers, and faulty deployment analysis. Be prepared to contribute hands-on to the development and architecture alongside the teams.
  • Optimize: Build dynamic, automated, and scalable data-driven solutions to address customer issues accurately and efficiently. Provide your expertise to identify bottlenecks and drive technical improvements.
  • Innovate: Analyze and make strategic technological choices for generative AI solutions and keep abreast of the latest trends in AI and machine learning. This role requires practical experience to experiment and implement state-of-the-art solutions effectively.
  • Document: Create and maintain comprehensive technical documentation for seamless understanding and future development. Hands-on involvement ensures documentation is both practical and actionable.
  • Lead and Guide: Mentor the AI teams in building robust and scalable solutions, providing hands-on guidance and working alongside them to solve complex challenges.
    Collaborate: Work with cross-functional teams to identify and prioritize requirements, ensuring alignment with stakeholder expectations. Be ready to engage at a technical level to bridge gaps and deliver impactful solutions.

This role requires

  • Bachelor’s or master’s degree in computer science or a related field.
  • 10+ years of experience in software or data engineering, with a proven ability to design and operate distributed systems at scale.
  • 3+ years of experience designing and implementing AIOps solutions in a SaaS or cloud environment.
  • Extensive knowledge of LLMs, AI, and machine learning, including generative AI techniques.
  • Strong understanding of observability challenges in monitoring complex distributed systems.
  • Experience in data engineering, data science, and machine learning projects.
  • Proven ability to deliver AI proof-of-concepts and scale them into production solutions.
  • Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn and data technologies like Apache Hadoop, Spark or Kafka"
  • Ability to work with large datasets and proficiency in handling data pre-processing tasks. (this is one of the things I generally check during screening - how large datasets did they work on)
  • Clear understanding of S/W development best practices and architectural patterns. (one interview is generally focused just on HLD and architectural choices)
  • Strong collaboration, communication, and leadership skills.
  • Passion for generative AI and building user-facing products.

Bonus points if you have

  • Experience with big data technologies like Apache Kafka, Flink, and Spark.
  • Familiarity with machine learning frameworks 

 

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. 

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to [email protected].

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. 

Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

Is a Remote Job?
Hybrid (Remote with required office time)

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