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Ai Integration Engineer Jobs in Maine (NOW HIRING)

SRE Architect, AI-Powered Reliability

Portland, ME ยท On-site

$200.60 - $250.40/hr

## SRE Architect, AI-Powered ReliabilityApplylocations: Portland, ME: Chicago, IL: Boston, MA ... Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ...

Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize ... Integrate GenAI capabilities into existing applications and workflows Web & Technology Stack * Work ...

SRE Architect, AI-Powered Reliability

Portland, ME ยท On-site

$58.25 - $77.50/hr

Our SRE practice is in its early stages, and the decisions made now will define how we build ... Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ...

Our SRE practice is in its early stages, and the decisions made now will define how we build ... Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ...

Our SRE practice is in its early stages, and the decisions made now will define how we build ... Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ...

... integrating AI are designed, governed, and deployed across the organization. The leader directly ... Experience with foundation models, prompt engineering, RAG architectures, and agentic AI patterns

MuleSoft Architect

Augusta, ME ยท On-site

$99K - $225K/yr

... engineering solution. As a lead MuleSoft Architect on our team, you'll have the chance to shape ... integrations . Grow your skills by deploying your existing AI and commercial technology into the ...

Senior Software Engineer

Orono, ME ยท On-site

$66.58 - $110/hr

Establish best practices for integrating Agentic AI into the software development lifecycle Qualifications * Bachelor's degree in Computer Science, Computer Engineering, or related technical field ...

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Showing results 1-20

Ai Integration Engineer information

See Maine salary details

$43.1K

$120.3K

$168K

How much do ai integration engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai integration engineer in Maine is $120,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $135,500.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What job categories do people searching Ai Integration Engineer jobs in Maine look for?

The top searched job categories for Ai Integration Engineer jobs in Maine are:

What cities in Maine are hiring for Ai Integration Engineer jobs?

Cities in Maine with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Maine as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $120,323 per year, or $57.8 per hour.

Staff Application Security Engineer - AI & Agentic Systems

Hispanic Alliance for Career Enhancement

Augusta, ME โ€ข On-site

$107 - $284/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Healthยฎ, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

We are seeking a Staff Application Security Engineer - AI & Agentic Systems to help secure the next generation of AI-enabled applications, large language model integrations, and agentic systems. This role will partner closely with engineering, product, platform, and data teams to embed security into the design, development, and operation of both traditional and AI-driven solutions.

As a senior technical contributor, you will help define secure design patterns, conduct threat modeling and risk assessments, guide engineering teams on secure development practices, and support the adoption of responsible AI security controls across the enterprise.

Key Responsibilities Secure Development, Standards & Design
  • Develop and maintain application and AI security standards, best practices, and guardrails.
  • Promote secure-by-design principles across application and AI development lifecycles.
  • Establish secure design patterns for AI agents, prompt management, tool integrations, memory handling, and autonomous workflows.
  • Partner with engineering teams to identify and mitigate AI-specific security risks such as prompt injection, model abuse, data leakage, and unauthorized agent actions.
AI & Agentic Security Architecture
  • Serve as a subject matter expert supporting the security of AI-enabled applications and agentic systems.
  • Review and provide guidance on architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows.
  • Define and recommend identity, authorization, data protection, observability, and governance controls for AI environments.
  • Collaborate with AI platform, engineering, product, and data teams to ensure secure and responsible AI adoption.
Security Testing & Risk Management
  • Perform threat modeling, architecture reviews, and security assessments for applications and AI-enabled systems.
  • Conduct security analysis of AI workflows, model integrations, agent interactions, and data flows.
  • Partner with engineering teams to prioritize and remediate security findings.
  • Evaluate emerging AI security tools and technologies to improve organizational security posture.
Collaboration & Technical Leadership
  • Influence engineering teams to integrate security controls into development processes and product roadmaps.
  • Partner with privacy, compliance, legal, and risk teams to align security controls with organizational requirements.
  • Provide guidance on AI security considerations, emerging threats, and industry best practices.
  • Participate in strategic initiatives supporting secure AI adoption across the enterprise.
Incident Response & Continuous Improvement
  • Support investigation and response efforts involving application and AI-related security events.
  • Assist in identifying root causes and implementing long-term security improvements.
  • Drive continuous improvement of security controls, processes, and engineering practices.
Mentorship & Innovation
  • Mentor security engineers and development teams on secure coding, threat modeling, and AI security best practices.
  • Contribute to the evaluation of emerging AI security research, technologies, and industry standards.
  • Help advance the organization's application and AI security strategy through innovation and technical leadership.
Required Qualifications
  • 7+ years of experience designing, building, or securing enterprise-scale applications and platforms.
  • 5+ years of application security experience, including threat modeling, secure design, code review, and vulnerability management.
  • 5+ years of programming experience in one or more languages such as Python, Java, JavaScript, C#, or Go.
  • 3+ years of experience developing or securing AI, machine learning, or generative AI solutions.
  • 3+ years of experience with public cloud platforms including AWS, Azure, or Google Cloud Platform.
Preferred Qualifications
  • Experience securing modern application architectures, including APIs, containers, microservices, and serverless technologies.
  • Strong understanding of secure software development lifecycle practices and application security testing methodologies.
  • Handsโ€‘on experience securing AI agents, retrieval augmented generation solutions, and large language model integrations.
  • Experience conducting threat modeling and security assessments for AI-enabled systems.
  • Familiarity with responsible AI principles, AI governance, and emerging AI security frameworks.
  • Experience integrating security controls into continuous integration and continuous delivery pipelines.
  • Knowledge of common compliance frameworks such as PCI DSS, HIPAA, NIST, HITRUST, and CSA.
  • Ability to influence technical decisions across multiple teams and organizations.
  • Experience contributing to security research, openโ€‘source projects, or industry communities.
Education
  • Bachelor's degree from an accredited college or university, or equivalent combination of education and relevant work experience (High School Diploma/GED plus 4 years of related experience)

Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer.

Pay Range

The typical pay range for this role is:

$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual fullโ€‘time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or shortโ€‘term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fullโ€‘time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellโ€‘being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/24/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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