Lead Principal Software Engineer - AI

We're looking for a

Lead Principal Software Engineer - AI

This role is Office Based

About Cornerstone :

Cornerstone powers the future-ready workforce with modern, AI-driven employment solutions. Our platform enables companies to develop, manage, and engage their talent—unlocking growth and innovation across organizations of all sizes.

Who We’re Looking For :

Cornerstone is seeking a visionary and highly accomplished Distinguished Software Development Engineer to spearhead the creation of groundbreaking AI and machine learning solutions across our industry-leading workforce agility - Galaxy ecosystem. This is a rare opportunity for a true innovator—someone who thrives on architecting and hands-on building intelligent, autonomous systems at massive scale. You’ll be driving the future of workforce technology by delivering AI-powered applications that are robust, secure, ethical, and brilliantly performant.

What You’ll Do :

• Full-Stack AI Engineering : Lead the hands-on development, deployment, and continuous improvement of sophisticated AI-driven features, leveraging Agile practices and top-tier coding standards.
• Advanced Architecture & System Design : Architect, implement, and scale modern, distributed AI systems—including training pipelines, streaming data processing, serverless microservices, and MLOps infrastructure—to deliver enterprise-grade reliability and security.
• ML Model Innovation : Expertly design, build, and tune production AI / ML models (NLP, Deep Learning, Recommender Systems, LLMs, Generative AI) using cutting-edge frameworks (TensorFlow, PyTorch, Hugging Face, Keras, Scikit-Learn, Ray).
• Cloud & Data Engineering Mastery : Develop and optimize cloud-native (AWS, GCP, Azure) AI workloads—utilizing Kubernetes, Docker, Spark, and high-performance data lakes for advanced data wrangling, batch and real-time inference, and model monitoring.
• Agentic & Generative AI Technologies : Design and deploy intelligent, autonomous AI agents (LLMs, multi-agent systems) capable of planning, reasoning, and decision-making—solving complex HR and talent management challenges with next-gen AI.
• Orchestration & Tooling : Build frameworks for multi-agent orchestration, message passing, prompt engineering, vector databases (FAISS, Pinecone), and scalable knowledge graphs to enable robust agent collaboration and negotiation.
• Task Automation & Workflow AI : Develop specialized AI agents for process automation—streamlining content generation, personalized recommendations, and end-to-end workflow optimization using RPA and conversational AI.
• Safety, Reliability, & Explainability : Set gold standards for AI safety, fairness, and explainability—implementing evaluation protocols, guardrails, and bias detection to ensure ethical agent behavior in real-world deployments.
• Seamless Systems Integration : Fuse agentic and generative AI systems with modern APIs, REST / gRPC, user interfaces (React, Angular), microservices, and enterprise data sources for resilient, scalable solutions.
• Performance Tuning & MLOps : Apply best-in-class techniques for model performance, hyperparameter optimization, scalable retraining, monitoring, and CI / CD for AI pipelines.
• Research, Innovation & Thought Leadership : Stay at the cutting edge with constant exploration of new AI technologies—transforming foundational research into impactful product features.
• Standards Advocacy : Champion software engineering excellence—driving best practices in secure coding, peer review, and responsible AI design throughout the full SDLC.

What You’ll Bring :

Total Rewards :

At Cornerstone, our transparent total rewards program is based on three core tenets : equitable pay, market dynamic research, and skill-based appraisal.

In addition to competitive base pay, the compensation package for this role may include other incentives like bonus or commission, along with a generous benefits package. Additional base pay may be available if you reside in a high-cost metro area (New York City or San Francisco Bay Area).

This range reflects the minimum and maximum salary for this position. Where an individual’s pay falls within the range is determined by factors including, but not limited to, job-related skills, experience, and relevant education or training.