Lead Software Engineer- Cloud Platform

Atlanta, GA, United States

Your opportunity

At New Relic, we empower our customers with real-time insights to accelerate innovation. Our observability tools provide deep visibility into various technologies and distributed systems, enabling software engineering teams to proactively address issues, optimize performance, and enhance their infrastructure.

Join our Cloud Platform team to develop state-of-the-art cloud platforms and services that securely process over 2 billion telemetry events per minute across multi-cloud environments. We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data. You will also address complex challenges and shape technical strategies that enhance our platform and New Relic product portfolio and foster cross-team collaboration.

This position offers an exceptional opportunity to accelerate your career growth, enhance your technical and collaborative skills, and deepen your expertise in Generative AI and cloud technologies. The ideal candidate will have robust experience in AI infrastructure, particularly in Generative AI, and a proven ability to address some of the most challenging and exciting issues in today's digital world.

What you'll do

Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.

Set and drive clear team objectives focused on impactful project outcomes, optimizing AI system architecture and infrastructure, and boosting developer productivity.

Lead through rigorous data analysis to deliver substantial improvements, crafting use cases and methodologies to evaluate and refine strategic approaches.

Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google's Vertex AI.

Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.

Mentor and support the professional development of engineers, and data engineers, enhancing the quality of engineering work and facilitating effective team integration.

Drive and lead creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting multiple business domains and iterating on the MVP models.

This role not only demands deep technical expertise in AI and generative technologies but also strong leadership and strategic insight to guide and empower teams towards innovative solutions in the dynamic field of AI.

This role requires

6+ years of professional work experience in software development and/or operations

Strong strategic vision for the use of generative AI within the business context, identifying areas where it can provide competitive advantages or improve operational efficiencies.

Deep knowledge of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs) like OpenAI's GPT series, BERT, and Transformer architectures. This involves understanding their architecture, training methods, and applications.

Strong coding skills in Python, Java, or C#, with a solid grasp of AI-focused libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and other frameworks that support generative AI development.

Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google's Vertex AI, Azure's AI tools, and AWS's Machine Learning services.

Skills in manipulating large datasets and generating synthetic data, which is crucial for training and fine-tuning generative models.

Experience in applying generative techniques in practical applications such as content creation, data augmentation, simulation, and anomaly detection.

Experience in applying generative techniques in practical applications such as content creation, data augmentation, simulation, and anomaly detection.

Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design

Ability to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.

Proven years' experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting multiple business domains

Bonus points if you have

Proven experience with recommender systems and ranking models that drive personalized user experiences.

Familiarity with AI accelerator architectures that enhance the performance of advanced algorithms.

Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.

Proven experience with recommender systems and ranking models that drive personalized user experiences.

Demonstrated leadership skills in guiding and developing technical teams towards achieving complex project goals.

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