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Ai Integration Jobs (NOW HIRING)

Virtusa

AI Integration - Backend Services

San Jose, CA · On-site

As a Senior Software Engineer specializing in AI Integration with Backend Services, you will play a pivotal role in designing, developing, and deploying robust and scalable backend systems that ...

Schonfeld

Senior AI Integration Engineer

New York, NY · On-site

$190K/yr

SCHONFELD STRATEGIC ADVISORS LLC has an opening for a Senior AI Integration Engineer in New York, NY. The position duties are as follows: As a pivotal member of our Applied Solutions team, you will ...

KDA Consulting Inc

Lead AI Integration Engineer

Herndon, VA · On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

KDA Consulting Inc

Lead AI Integration Engineer

Herndon, VA · On-site

$105K - $138K/yr

Led AI engineering integration efforts for Enterprise Mind, partnering closely with Sponsor stakeholders, AWS teams, and cross-functional engineering groups to design, integrate, and operationalize ...

Lightedge

Sr. AI Integration Engineer

Dallas, TX · Hybrid

Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Leidos

Senior AI Integration Engineer

Gaithersburg, MD · On-site

$132K - $174K/yr

Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Leidos

Senior AI Integration Engineer

Alexandria, VA · On-site

$131K - $172K/yr

Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

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Ai Integration information

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How much do ai integration jobs pay per year?

As of Jun 16, 2026, the average yearly pay for ai integration in the United States is $117,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What is an AI integration job?

An AI integration job involves implementing artificial intelligence systems into existing software or workflows. It requires skills in programming, data analysis, and understanding AI tools like machine learning models or APIs to ensure seamless integration and functionality.

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

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

What job makes $10,000 a month without a degree?

In AI integration roles, professionals such as AI developers, machine learning engineers, or data scientists can earn $10,000 or more monthly through skills in programming, data analysis, and AI tools. These positions often require strong technical expertise and experience rather than formal degrees, with many earning high salaries through freelance work, consulting, or working in tech companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day often include roles such as specialized consultants, senior software engineers, data scientists, and certain executive positions. These roles typically require advanced skills, extensive experience, and often involve freelance, contract, or project-based work in industries like technology, finance, or consulting.
More about Ai Integration jobs
What cities are hiring for Ai Integration jobs? Cities with the most Ai Integration job openings:
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Ai Integration jobs near you
Infographic showing various Ai Integration job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $117,986 per year, or $56.7 per hour.
AI Integration - Backend Services

AI Integration - Backend Services

Virtusa

San Jose, CA • On-site

Other

Posted 3 days ago

Job description

About the Role: 

As a Senior Software Engineer specializing in AI Integration with Backend Services, you will play a pivotal role in designing, developing, and deploying robust and scalable backend systems that seamlessly integrate with Google's cutting-edge AI and Machine Learning technologies. You will be responsible for building the infrastructure that enables intelligent features within our products, working closely with AI Research, ML Engineering, and Product teams to bring innovative AI capabilities to life for our users. 

Responsibilities: 

  • Lead the design, development, and maintenance of high-performance and reliable backend services and APIs. 
  • Architect and implement integrations with various AI/ML platforms and services (e.g., TensorFlow Serving, Google Cloud AI, custom inference engines). 
  • Develop data pipelines and processing frameworks to prepare and serve data for AI models. Ensure the scalability, reliability, and efficiency of backend systems interacting with AI models, handling high throughput and low latency requirements. 
  • Collaborate with AI/ML researchers and engineers to deploy and optimize models within production backend environments. Implement monitoring, logging, and alerting for AI-integrated backend systems to ensure performance and stability. 
  • Participate in on-call rotations and troubleshoot production issues. 
  • Mentor junior engineers and contribute to the team's best practices in software development and AI integration. 
  • Drive the adoption of best practices in API design, microservices architecture, and secure coding. 

Minimum Qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 6+ years of experience in software development, with a significant focus on backend systems. 
  • Proficiency in one or more general-purpose programming languages such as Java, C++, Python, or Go. Experience designing and building scalable APIs and microservices. 
  • Familiarity with distributed systems and cloud platforms (e.g., Google Cloud Platform). 
  • Understanding of AI/ML concepts and experience integrating machine learning models into production systems. 

Preferred Qualifications: 

  • Master's or PhD degree in Computer Science or a related technical field.
  • Experience with Google-internal technologies such as Boq, Scaffolding, Spanner, Colossus, and Borg.
  • Demonstrated experience with AI/ML frameworks and tools like TensorFlow, TensorFlow Serving, TFX, or JAX.
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Strong understanding of system design, performance analysis, and optimization techniques.
  • Excellent communication and collaboration skills, with experience working in cross-functional teams.
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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