AI Engineer

Reposted 9 Days Ago
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Software
New Relic, the Intelligent Observability company.
The Role
As a Senior Product Analyst, you'll champion data governance, analyze user behavior, establish KPIs, and present insights to inform product strategies.
Summary Generated by Built In

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!

Your Opportunity 

Our Product Analytics team is looking for an AI Systems Engineer to modernize and automate our data governance, build the agentic infrastructure that standardizes our customer and user engagement data, and deliver high-integrity, AI-ready intelligence to Product leadership. Our goal is maturing the automation capabilities of our organization by deploying self-healing data pipelines and realizing what is possible when our massive scale of business and telemetry data is harnessed by autonomous AI agents.

Who You are

You’re a self-starter who’s able to work in a fast-paced, ambiguous environment. Proven technical precision and an absolute mastery of leveraging AI-assisted development tools will enable you to successfully partner with Marketing, Sales, Product, and Engineering to build automated workflows, data contracts, and agentic systems. Additionally, you will architect idempotent pipelines and deliver reliable data foundations that empower our internal AI models to act with high fidelity and predictable results. You will succeed by having an eye on the big-picture—designing systems that solve today’s observability gaps while building the scalable AI architecture of the future.

What You’ll Do

  • Develop and Deploy Agentic Workflows: Build LLM-based agents to automate critical data tasks including metadata standardization, entity resolution, and autonomous data anomaly diagnosis.
  • Establish Governance as Code (Observability): Implement and maintain automated testing frameworks and observability tools (e.g., Monte Carlo, Soda) to identify and alert on "silent failures" like timezone smearing or usage divergence.
  • Build AI-Ready Data Pipelines: Develop and maintain the Semantic Layer and data models in Snowflake that enable internal AI agents to query our usage and billing data with accuracy.
  • Champion AI-First Development: Act as a power user of AI-assisted coding tools (Claude Code, Gemini Enterprise) to rapidly prototype and iterate on the team's data infrastructure.
  • Maintain Pipeline Integrity: Build "replayable" data pipelines and monitor production workflows to ensure our data "immune system" stays updated as the business evolves.

Your Qualifications

Must-have:

  • 3+ years of experience in Data Engineering, AI Systems, or a related technical field with a strong focus on automation.
  • AI Orchestration: Hands-on experience using frameworks like LangChain or LlamaIndex to build functional, multi-step AI applications.
  • AI-Assisted Coding Proficiency: Mastery of LLM-based development tools to accelerate delivery and automate documentation.
  • Core Technical Stack: Proficiency in Python (FastAPI, Pandas) and SQL; experience working within Snowflake.
  • Reliability Mindset: A strong understanding of data quality principles and experience setting up automated alerts, monitors, and data contracts.

Nice-to-have:

  • Experience with Vector Databases (e.g., Pinecone, Weaviate) for retrieval-augmented generation (RAG).
  • Experience in Fintech, Billing, or RevOps environments where mathematical reconciliation is a core requirement.
  • Background in building RLHF loops to turn analyst corrections into training data for automation engines.


Please note that visa sponsorship is not available for this position.

#LI-MS1

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.

New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.

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

Skills Required

  • Bachelor's degree in quantitative field
  • 6 years experience
  • At least 2 years in Product Analytics
  • Advanced proficiency in SQL and Python
  • Building scalable reporting in Tableau or Looker
  • Proven experience in data governance
  • Independently lead end-to-end analytics
  • Experience leveraging AI-assisted workflows
  • Practical experience applying statistical methods
  • Hands-on experience with OpenMetadata
  • Experience working within Agile/Scrum methodologies
  • Prior experience collaborating with engineering

New Relic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about New Relic and has not been reviewed or approved by New Relic.

  • Healthcare Strength Core coverage spans medical, dental, vision, telehealth, and mental‑health tools, with employer‑paid life and disability. Wellness funds and globally available programs add breadth to the health offering.
  • Parental & Family Support Paid parental leave, family‑forming support through Carrot, and subsidized back‑up childcare indicate strong family benefits. These supports are positioned across regions and designed to cover varied family needs.
  • Retirement Support A 401(k) with an employer match is part of the package alongside other financial programs. The employer match is cited as a meaningful component of total rewards.

New Relic Insights

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The Company
HQ: San Francisco, CA
2,653 Employees
Year Founded: 2008

What We Do

The New Relic Intelligent Observability Platform helps businesses eliminate interruptions in digital experiences. New Relic is the only AI-strengthened platform to unify and pair telemetry data to provide clarity over your entire digital estate. We move your problem solving past proactive to predictive by processing the right data at the right time to maximize value and control costs. That’s why businesses around the world—including Adidas Runtastic, American Red Cross, Domino’s, GoTo Group, Ryanair, Topgolf, and William Hill—run on New Relic to drive innovation, improve reliability, and deliver exceptional customer experiences to fuel growth.

Why Work With Us

New Relic leads in intelligent observability with the only AI-strengthened platform unifying telemetry data. Our culture provides employees cutting-edge technology, unmatched career development, and a true one-team environment where everyone is empowered to grow, learn, and contribute to our collective success.

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