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Applied Ai Jobs (NOW HIRING)

F2 AI

Applied AI Engineer

San Francisco, CA · On-site

$130 - $170/hr

Applied AI Engineer ENGINEERING | San Francisco, New York City | On-site | Full-time The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace ...

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NinjaTech AI

Applied AI Engineer

Mountain View, CA · On-site

$80 - $120/hr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

The Hartford

AVP Applied AI

Charlotte, NC · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

Thread AI

Applied AI Strategist

New York, NY · On-site

$145K - $200K/yr

About The Role As an Applied AI Strategist at Thread AI, you will work as the connective tissue between our composable AI infrastructure and the complex realities of our customers' businesses. You ...

The Hartford

AVP Applied AI

Columbus, OH · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

Metropolis

Director, Applied AI

Seattle, WA · On-site

They are seeking a Director of Applied AI to lead the new Applied AI organization, focusing on redefining business processes and building a high-performing team to drive AI integration across the ...

The Hartford

AVP Applied AI

Chicago, IL · On-site +1

The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely ...

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Roles & Responsibilities Define AI/ML architecture; work directly with teams to build and deploy AI models; improve applied AI delivery patterns; accelerate teams through production deployment, evals ...

Qvest

Manager - Applied AI

Manhattan, NY · On-site

Project Manager In Technical Delivery, Applied AI, And Change Management Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods ...

Deloitte

Director, Applied AI Engineering

Dallas, TX · On-site

Share this job: Share: Share Director, Applied AI Engineering with Facebook Share Director, Applied AI Engineering with LinkedIn Share Director, Applied AI Engineering with Twitter Caution against ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and compliant deployment of AI Agents in regulated industries, worldwide, through our Regulatory Guardrails ...

Neshent Technologies

Applied AI Architect

Broadview, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure ...

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How much do applied ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for applied ai in the United States is $111,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an applied AI?

An Applied AI job focuses on implementing artificial intelligence solutions to solve real-world problems in industries like healthcare, finance, and manufacturing. Professionals in this role work with machine learning models, data pipelines, and AI systems to enhance automation and decision-making. They collaborate with engineers, data scientists, and business teams to integrate AI into products and services. Strong programming, data analysis, and problem-solving skills are essential for success in this field.

What are the typical responsibilities and team dynamics in an applied AI position?

Professionals in Applied AI typically work on designing and deploying machine learning models to solve business problems, collaborating closely with data engineers, domain experts, and product managers. Daily tasks often include data cleaning, model development, algorithm selection, and integrating AI solutions into existing workflows or products. Applied AI specialists may participate in regular meetings to discuss project progress, share insights from data analysis, and refine requirements based on feedback. The work environment is usually fast-paced and collaborative, with frequent opportunities to present findings and contribute directly to innovative product features or business strategies.

What are the key skills and qualifications needed to thrive in the applied AI position, and why are they important?

To thrive in an Applied AI role, you need a strong background in machine learning, data science, mathematics, and programming, often supported by a relevant degree such as computer science or engineering. Proficiency with tools like Python, TensorFlow, PyTorch, and cloud computing platforms is essential, and certifications in AI or data science can be beneficial. Excellent problem-solving, communication, and teamwork skills help drive successful implementation of AI solutions in real-world business contexts. These abilities are crucial for bridging technical expertise with practical applications, ensuring impactful, reliable, and scalable AI outcomes.

How to get a job in applied AI?

To get a job in applied AI, develop strong skills in machine learning, programming (such as Python), and data analysis. Gaining experience through projects, internships, or certifications in AI frameworks like TensorFlow or PyTorch can improve your prospects, along with a relevant degree in computer science, data science, or related fields.
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Applied Ai jobs near you
Infographic showing various Applied Ai job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $111,608 per year, or $53.7 per hour.

Applied AI Engineer

F2 AI

San Francisco, CA • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Job description

Applied AI Engineer

ENGINEERING | San Francisco, New York City | On-site | Full-time

The Role

As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a typical week, you might build and productionize an agent in response to customer feedback, design evaluation frameworks for AI performance, and implement advanced retrieval systems to make the most of AI for finance workflows.

What You'll Do
  • Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts
  • Design retrieval pipelines that extract and synthesize insights from unstructured sources (PDFs, emails, presentations) with intelligent conflict resolution
  • Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis
  • Construct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics
  • Create evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks
  • Design and implement systems that maintain traceability from AI outputs to primary sources
  • Experiment with the latest LLM orchestration patterns and context management techniques for financial use cases
  • Shape technical direction and best practices for AI application development at Rowspace
  • Iterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback
  • Deploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack
What You Have
  • 3+ years of experience in machine learning, AI research, or applied AI engineering
  • Strong background in LLMs, RAG systems, and agentic AI workflows
  • Experience designing evaluation frameworks and benchmarks for AI systems
  • Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
  • Experience with retrieval systems, embeddings, and multi-modal data processing
  • Publication record or demonstrated expertise in relevant AI research areas is a plus
  • Entrepreneurial mindset with ability to translate cutting‑edge research into practical business value
  • Experience as a full‑stack engineer is a plus (React/Typescript + Python/Node or similar)
Perks & Benefits
  • Health & Wellness: Comprehensive medical, dental, and vision insurance
  • Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
  • Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
  • Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
  • Team Culture: Regular team offsites to bond and strategize away from the desk
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