AI Data Architect

Harnham; New York (NY); Hybrid; USD 180,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

Join a cutting-edge fintech startup as an AI Data Architect, where you will lead the design of AI data infrastructures that enhance financial decision-making and optimize risk management. This role offers the chance to shape AI strategies and drive impactful solutions in a fast-paced environment. Collaborate with talented teams to implement scalable data frameworks and stay at the forefront of AI innovations. If you are passionate about leveraging AI to transform the financial sector, this is the perfect opportunity for you.

Qualifications

• Experience in designing and implementing AI data architectures.
• Proficiency in Python, SQL, and deep learning frameworks.

Responsibilities

• Design and oversee AI data architectures and pipelines.
• Mentor AI engineers and ensure data integration for AI models.

Skills

AI data architecture design

Deep learning frameworks (TensorFlow, PyTorch, JAX)

Cloud-based data infrastructure (AWS, GCP, Azure)

LLMs, generative AI, and NLP technologies

Data scalability and optimization

Data governance and security

Python

SQL

Spark

Kubernetes

Job description

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Harnham provided pay range

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $200,000.00/yr

Connecting Top AI and Machine Learning Talent @ Harnham NYC

AI Data Architect

Hybrid - 3 days onsite in NYC

$180,000-$200,000

We are working with an innovative fintech startup in New York City that is leveraging AI to enhance financial decision-making, optimize risk management, and drive automation in the financial sector. They are seeking an AI Data Architect to lead the design and optimization of their AI data infrastructure. This is an opportunity to shape AI strategy and drive impactful solutions at a fast-growing company.

Responsibilities:

• Design and oversee AI data architectures, pipelines, and storage solutions
• Evaluate and implement scalable data management frameworks for AI applications
• Work closely with engineering and product teams to ensure seamless data integration for AI models
• Optimize data workflows for AI model performance and efficiency
• Stay ahead of advancements in AI-driven financial data architecture and recommend strategic innovations to improve analytics, compliance, and risk assessment
• Mentor and guide AI engineers and data scientists

What they are looking for:

• Experience designing and implementing AI data architectures
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
• Strong understanding of cloud-based data infrastructure for AI (AWS, GCP, or Azure)
• Experience with LLMs, generative AI, and NLP technologies
• Expertise in data scalability and optimization for AI models
• Knowledge of data governance, security, and regulatory compliance for financial AI applications
• Proficiency in Python, SQL, Spark, and Kubernetes for AI data processing
• Ability to balance research-driven AI innovation with production-grade deployment

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Research

Industries

Business Consulting and Services and Technology, Information and Media

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Benefits:

• Medical insurance
• Vision insurance
• 401(k)