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Senior Ai Software Engineer Jobs (NOW HIRING)

FIS Amount

Senior AI Software Engineer

Chicago, IL

$126.20K - $166.40K/yr

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You ...

Mighty

Senior AI Software Engineer

New York, NY · On-site

$150K - $220K/yr

... AI outputs are accurate, trustworthy, and empathetic. Who You Are: * 7+ years of software engineering experience. You have a track record of shipping production software and take pride in clean, well ...

FIS Amount

Senior AI Software Engineer

Chicago, IL · On-site

$126.20K - $166.40K/yr

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You ...

Mighty

Senior AI Software Engineer

New York, NY · On-site

$150K - $220K/yr

... AI outputs are accurate, trustworthy, and empathetic. Who You Are: * 7+ years of software engineering experience. You have a track record of shipping production software and take pride in clean, well ...

Solo.io, Inc.

Senior AI Software Engineer

$125.40K - $165.30K/yr

Solo empowers teams to build and scale their AI infrastructure using cloud-native tech. Most ... Job Requirements: * 5+ years of experience as a software engineer * 2+ years working with ...

Cna

Senior AI Software Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

Solid knowledge of use of AI enabled development tools e.g. Cursor, GitHub Copilot, Claude Code ... Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress ...

Transcend Softech LLC

Senior AI Engineer

New York, NY · On-site

$134K - $176.70K/yr

Position: Senior AI Software Engineer Location: New York, NY Long Term Contract Gen-AI Certification is highly desired In this role, you will build core artificial intelligence capabilities ...

Chainalysis

Senior AI Software Engineer, AI Core

Manhattan, NY · On-site

$134.90K - $177.80K/yr

They are seeking a Senior AI Software Engineer to design and build the agent platform, own the skill architecture, and develop the workflow platform for automating complex processes while ensuring AI ...

CNA

Senior AI Software Engineer

Chicago, IL · On-site

$72K - $141K/yr

Solid knowledge of use of AI enabled development tools e.g. Cursor, GitHub Copilot, Claude Code ... Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress ...

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Senior Ai Software Engineer information

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$75.5K

$143.3K

$192K

How much do senior ai software engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior ai software engineer in the United States is $143,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior AI Software Engineer, and why are they important?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

How does a Senior AI Software Engineer typically collaborate with data scientists and product teams on AI projects?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are Senior AI Software Engineers?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

More about Senior Ai Software Engineer jobs
What cities are hiring for Senior Ai Software Engineer jobs? Cities with the most Senior Ai Software Engineer job openings:
What are the most commonly searched types of Ai Software Engineer jobs? The most popular types of Ai Software Engineer jobs are:
What states have the most Senior Ai Software Engineer jobs? States with the most job openings for Senior Ai Software Engineer jobs include:
What job categories do people searching Senior Ai Software Engineer jobs look for? The top searched job categories for Senior Ai Software Engineer jobs are:
Senior Ai Software Engineer jobs near you
Infographic showing various Senior Ai Software Engineer job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $143,292 per year, or $68.9 per hour.

Senior AI Software Engineer

FIS Amount

Chicago, IL

$126.20K - $166.40K/yr

Other

Posted 2 days ago

Job description

A DAY IN THE LIFE:

As an AI Software Engineer, you'll spend your days architecting and building AI-powered systems that leverage foundational models like OpenAI, Claude, and Llama to solve real business problems. You'll balance hands-on development of backend services and APIs with designing scalable AI integration patterns, building experimentation frameworks, and ensuring seamless deployment across our technology stack.

You'll work closely with product managers to translate business needs into technical implementations, collaborate with data scientists on model integration, and guide teams on adopting the latest AI capabilities. You'll drive rapid test-and-learn cycles, prototyping solutions that unlock significant business opportunities. You'll also champion best practices for responsible AI implementation, ensuring our solutions are scalable, reliable, and maintainable.

This role is perfect for an expert generalist who thrives in fast-paced environments and wants to be at the forefront of AI innovation, turning cutting-edge technology into practical business solutions.

Team: Embedded within the AI Pathfinder team, collaborating across a cross-functional group of ~8-10 engineers, data scientists, and product managers within the Technology zone

Similar job titles: AI Platform Engineer, AI Engineer

WHAT WE'LL TRUST YOU TO DELIVER:

AI Solution Development

  • Design and build backend services and APIs that deploy AI-powered features using foundational models
  • Implement scalable architectures supporting AI workflows, automation, and data processing pipelines
  • Create end-to-end solutions that translate high-level business problems into functional AI implementations
  • Build experimentation frameworks enabling rapid iteration and deployment of AI functionalities

System Integration & Architecture

  • Integrate AI services into complex technology stacks, ensuring seamless interoperability
  • Connect AI capabilities with microservices, AWS platform components, and Redshift data systems
  • Manage complex dependencies across multi-stack environments
  • Ensure system reliability, scalability, and maintainability

Innovation & Experimentation

  • Drive test-and-learn cycles with rapid prototyping of AI-driven solutions
  • Evaluate and adopt new AI frameworks, tools, and capabilities
  • Build proof-of-concept solutions for the company's most exciting problems
  • Stay current with the evolving AI ecosystem to guide technical decisions

Cross-Team Collaboration

  • Partner with product managers to understand and translate business requirements
  • Work with data scientists on model integration and optimization
  • Coordinate with frontend engineers on API design and feature delivery
  • Document system designs, APIs, and workflows for knowledge sharing


WHAT YOU LIKELY BRING TO THE TABLE: 

  • 5+ years of backend software engineering with strong Python skills; experience with Java is a plus
  • Proven track record designing and developing scalable APIs and distributed services (FastAPI, PostgreSQL, Redis)
  • Deep understanding of cloud infrastructure (AWS Services, Bedrock), container orchestration (Kubernetes, Docker), and CI/CD pipelines
  • Hands-on experience integrating AI/ML services and managing AI API dependencies (OpenAI, Claude, LangChain, vector databases)
  • Practical knowledge of AI orchestration frameworks and data pipeline tooling (Redshift, Temporal)
  • Test-and-learn mindset with strong rapid prototyping abilities
  • Excellent communication skills for both technical and business stakeholders
  • Experience with responsible AI principles, data privacy, and system reliability


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