AI/ML Engineer

Oscar; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Oscar is seeking a Senior AI Engineer to drive generative AI initiatives in a hybrid NYC setting. You will design, deploy, and optimize AI solutions across Finance, Compliance, HR, and Operations, collaborating with stakeholders to deliver high-impact results.

The role requires deep expertise in AI/ML within enterprise contexts, strong C#/.NET skills, and experience with Azure OpenAI, embeddings, and RAG strategies.

Qualifications

• 5-7 years of hands-on experience building AI/ML solutions within enterprise environments.
• Strong Proficiency: C# and .NET.
• Generative AI & RAG: prompt engineering, embeddings, and retrieval-augmented generation architectures.
• Cloud & Tools: Azure OpenAI, Azure Machine Learning, or equivalent platforms.
• Data Processing: working with structured and unstructured, text-heavy datasets.

Responsibilities

• Design, build, and deploy generative AI and machine learning models for corporate use cases.
• Create and optimize prompts, embeddings, vector search, and RAG strategies.
• Construct and maintain robust ML pipelines for training, evaluation, and inference with MLOps practices.
• Collaborate with business leaders to translate high-value requirements into scalable AI applications.
• Ensure responsible AI practices focusing on data privacy, governance, and transparency.

Skills

C# and .NET

Generative AI

RAG

Azure OpenAI

Data processing

Tools

LangChain

Databricks

Azure Functions

PowerShell

Job description

Title: Senior AI Engineer (Hybrid - NYC)

Location: Greater New York City Area (3 days/week on-site)

Position Type: Full-Time

About the Role

A leading enterprise organization is seeking a Mid-to-Senior AI Engineer to drive generative AI and machine learning initiatives across core corporate verticals, including Finance, Compliance, HR, and Operations. You will work directly with business stakeholders to design, deploy, and optimize high-impact AI solutions, automate workflows, and boost user productivity across the enterprise.

Key Responsibilities

Design, build, and deploy generative AI and machine learning models tailored to real-world corporate use cases.

Create and optimize prompts, embeddings, vector search, and retrieval-augmented generation (RAG) strategies.

Construct and maintain robust pipelines for model training, evaluation, and inference using standard MLOps best practices.

Collaborate with business leaders to translate complex, high-value requirements into functional, scalable AI applications.

Ensure responsible AI practices, focusing on data privacy, model governance, and transparency.

Required Qualifications

5-7 years of hands-on experience building AI/ML solutions within enterprise environments.

Strong Proficiency: Deep technical expertise with C# and .NET.

Generative AI & RAG: Demonstrated experience in prompt engineering, embeddings, and retrieval-augmented generation architectures.

Cloud & Tools: Experience using Azure OpenAI, Azure Machine Learning, or equivalent platforms.

Data Processing: Proven track record working with both structured and unstructured, text-heavy datasets.

Preferred Qualifications

Hands-on experience with vector databases, semantic search platforms, and frameworks like LangChain.

Experience with Databricks, large-scale data processing, and cloud automation (Azure Functions, PowerShell).

Active Microsoft or AI-related certifications.