Principal AI Engineer
Listed on 2026-01-17
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Business Manager - Machine Learning, LLMs, Generative AI & MLOps at Harnham
Principal AI Engineer
New York, New York - hybrid
$225,000 - $250,000 + bonus + LTI; $500,000-$700,000 total
Base pay range$/yr - $/yr
THE COMPANY
Harnham is partnering with one of the most well-known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be جائز on the forefront of building AI automation applications for new ways of identifying cost-saving opportunities. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.
RESPONSIBILITIES
- Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
- Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
- Maintain a robust codebase by writing well‑tested code, covering both functional and non‑functional aspects such as unit, integration, and load testing.
- Stay informed on industry trendsूं and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
- Actively share knowledge through internal presentations, tech talks, and by promoting best practices in municipality engineering and technology use.
SKILLS AND EXPERIENCE
- Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
- Over 7 years of hands‑on experience developing and deploying production‑ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring.
- Enterprise‑level application experience, ideally in real‑time preferred.
- Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, Tensor Flow, and the use of Feature Stores in live environments.
- Experience as a tech‑lead for scaling MLE teams preferred.
- Commercial experience combination of big tech and scaling startups / scrappy environments a plus.
BENEFITS
The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents
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