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Ai Engineer Salary In Jobs (NOW HIRING)

Distyl AI

AI Engineer

New York, NY · On-site

AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI ... salary range for this role is $150K - $250K, depending on experience, location, and level. In ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees. US Salary ...

Nolla Health

Founding AI Engineer

New York, NY · On-site

$160K - $220K/yr

THE ROLE This is an AI engineering role, not an ML engineering role. You won't be training models ... Salary: $160,000-$220,000, based on experience * Job Type: Full-time * Work Setup: In-person, New ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer ... This is an opportunity to get in early at a pre-seed company where engineers take ownership over ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer ... This is an opportunity to get in early at a pre-seed company where engineers take ownership over ...

Mastech Digital

AI Engineer

Pittsburgh, PA · Remote

$70 - $76/hr

We are currently seeking an AI Engineer for our client in the Business Services domain. We value ... Remote - US, Canada, India Salary: $70.00-$76.00/Hourly Role: AI Engineer Primary Skills: Python ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how ... Base salary range for this position is included in accordance with requirements of various state ...

Ignite Digital

AI Engineer

San Diego, CA

We are seeking an AI Engineer to join our Data and AI team. This role combines expertise in machine ... Ability to thrive in a fast-paced, mission-driven environment. Salary: 80k+ dependent on education ...

New

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

Strong expertise in GenAI architectures and evolving AI technologies b. Ability to balance ... Partner with stakeholders across product, business, risk, and security functions Salary Range- $110 ...

Booz Allen Hamilton

AI Engineer

Reston, VA

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

1Sphere AI

AI Engineer

Oakland, CA · On-site

The AI Engineer role focuses on mastering Claude Code, building AI orchestration patterns, and refining the architecture for real-time decision-making in AI systems. Responsibilities : • Become the ...

Pytho AI, Inc

AI Engineer

San Francisco, CA · On-site

We build AI for the most important problem in defense - making sure the force is ready to fight ... Competitive salary and equity * Opportunity to help build a category-defining defense tech company

EQL Tech

AI Engineer

Phoenix, AZ

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Competitive Salary: $125,000 - $175,000 per year, commensurate with experience. * Generous Founding ...

EQL Tech

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Competitive Salary: $125,000 - $175,000 per year, commensurate with experience. * Generous Founding ...

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How much do ai engineer salary in jobs pay per year?

As of Jul 24, 2026, the average yearly pay for ai engineer salary in in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the average salary of an AI Engineer in India?

The average salary of an AI Engineer in India ranges from ₹8 lakhs to ₹20 lakhs per year, depending on experience, location, and company. Entry-level AI engineers can expect to earn around ₹6-8 lakhs annually, while those with several years of experience or specialized skills may earn ₹20 lakhs or more. Factors such as the industry, educational background, and proficiency in machine learning, deep learning, or data science can also influence salary levels.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and programming languages such as Python, along with a degree in a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data processing tools, and sometimes certifications in AI or data science are highly valuable. Problem-solving, creativity, and effective communication are crucial soft skills for developing innovative AI solutions and collaborating with diverse teams. These skills and qualities ensure the ability to design, implement, and optimize AI systems that drive business and technological advancements.

What is the difference between Ai Engineer Salary In vs Data Scientist?

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

What are some common challenges AI Engineers face when working on real-world machine learning projects?

AI Engineers often encounter challenges such as dealing with imperfect or unbalanced datasets, managing computational resource limitations, and ensuring that models generalize well to new data. Collaboration with domain experts and data scientists is essential to accurately define project requirements and evaluate model performance. Additionally, AI Engineers need to keep up with rapidly evolving technologies and best practices to deliver impactful and scalable solutions in a team-oriented environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to senior or executive roles such as AI Directors, Chief AI Officers, or senior machine learning engineers with extensive experience and specialized skills. These positions often involve leadership, strategic planning, and advanced technical expertise, and they may require advanced degrees and certifications. Compensation at this level reflects significant responsibility and industry demand for top-tier AI talent.

What engineers make $300,000 a year?

Senior AI engineers, machine learning engineers, and data science leads with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often depends on industry, location, company size, and individual expertise, especially in roles involving complex model development and deployment.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries can vary based on experience, location, and industry, but overall, AI engineering is considered a well-compensated profession in the tech field.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in senior leadership roles or at top tech companies. Achieving this level typically requires advanced skills, extensive experience, and often stock options or bonuses as part of compensation packages.
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Ai Engineer Salary In jobs near you
Infographic showing various Ai Engineer Salary In job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

Distyl AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

About Distyl AI
Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
What We Are Looking For
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Key Responsibilities
  • Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
  • Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
  • Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
  • Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value
  • Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
  • Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve
  • Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement
  • Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
  • Take accountability for the production outcomes of the components, workflows, and systems you build

What We Require
  • 2+ years of software engineering experience
  • Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
  • Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components - prompts, agents, tools, retrieval, evaluators, workflows, and integrations - into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
  • Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
  • AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
  • Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
  • Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users
  • Willingness to travel. Travel is typically 10-30%, depending on the project, customer needs, and your role on the engagement

What We Offer
  • The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible time off
  • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
  • Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
  • Complimentary in-office lunches and snacks provided
  • Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
  • Ownership of high-impact projects across top enterprises
  • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

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