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Lead Ai Software Engineer Jobs (NOW HIRING)

AI Software Engineer Location: US - Remote Job Type: Fulltime Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing ...

Partner with Engineering Managers and technical leads on complex system-design decisions. * Lead ... Strong experience designing, building, and operating production software systems. * Deep expertise ...

AI Software Engineer (Generative AI) Azumo , a leading AI Development company , is seeking a highly ... Lead full-cycle development: data preparation, model fine-tuning, evaluation, optimization ...

Job Title AI Software Engineer Team Lead Banesco USA is seeking an AI Software Engineer Team Lead for our IT Department in Miami. Primary Job Duties * Design, develop, and deploy AI-driven software ...

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

As an Agentic AI Software Engineer you will: * Design, build, and ship agentic AI features end to ... lead. AI Experience Requirements: * Hands-on daily use of AI coding assistants or agentic tools ...

The AI Software Engineer will focus on deploying models, optimizing performance, and collaborating with AI Scientists to create scalable and efficient software solutions. Responsibilities : • Model ...

The AI Software Engineer will focus on optimizing machine learning models for efficiency and reliability, collaborating closely with AI Scientists to enhance production-grade software.

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Lead Ai Software Engineer information

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$83K

$145.9K

$198K

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

As of Sep 10, 2026, the average yearly pay for lead ai software engineer in the United States is $145,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $168,500.00 per year, depending on experience, location, and employer.

What does a Lead AI Software Engineer do?

A Lead AI Software Engineer oversees the design, development, and deployment of artificial intelligence solutions within an organization. They lead teams of engineers and data scientists, making technical decisions on AI models, algorithms, and system architecture. Their responsibilities include mentoring team members, ensuring project milestones are met, collaborating with stakeholders, and staying updated on the latest AI advancements. The role requires both deep technical expertise in AI and strong leadership and project management skills.

What are the key skills and qualifications needed to thrive as a Lead AI Software Engineer?

To thrive as a Lead AI Software Engineer, you need deep expertise in machine learning, software development, and algorithm design, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, Azure), and experience with data pipelines are commonly required, along with relevant certifications. Leadership, strong problem-solving abilities, and effective communication are essential soft skills for guiding teams and collaborating with stakeholders. These skills ensure the successful delivery of AI solutions that meet business needs while fostering innovation and maintaining technical excellence.

How does a Lead AI Software Engineer typically collaborate with data scientists and other engineering teams?

As a Lead AI Software Engineer, you play a central role in bridging the gap between data science and engineering. You’ll frequently collaborate with data scientists to translate experimental models into production-ready code, ensuring scalability and reliability. You’ll also coordinate with backend, frontend, and DevOps teams to integrate AI solutions into larger systems, manage model deployment pipelines, and uphold coding standards. Strong communication and project management skills are essential for aligning technical efforts and driving cross-functional projects to success.

What is the difference between Lead Ai Software Engineer vs Ai Software Engineer?

AspectLead Ai Software EngineerAi Software Engineer
CredentialsBachelor's/Master's in CS or related field, experience in AI/MLBachelor's/Master's in CS or related field, entry to mid-level experience
Work EnvironmentLeading projects, mentoring teams, designing AI solutionsDeveloping and implementing AI models, coding, testing
Industry UsageUsed across tech, finance, healthcare, and more for leadership rolesCommonly employed in tech companies, startups, research labs

The main difference between a Lead Ai Software Engineer and an Ai Software Engineer lies in their responsibilities and experience level. The Lead typically oversees projects, mentors team members, and makes strategic decisions, while the Ai Software Engineer focuses on developing AI models and coding. Both roles require similar educational backgrounds and are vital in AI-driven industries.

What cities are hiring for Lead Ai Software Engineer jobs?

Cities with the most Lead Ai Software Engineer job openings:

What states have the most Lead Ai Software Engineer jobs?

States with the most job openings for Lead Ai Software Engineer jobs include:

What are popular job titles related to Lead Ai Software Engineer jobs?

For Lead Ai Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Lead Ai Software Engineer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,890 per year, or $70.1 per hour.

AI Software Engineer Expert - Remote

Boston, MA • On-site

Other

Re-posted 16 hours ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.
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