1

Ai Implementation Jobs in Boston, MA (NOW HIRING)

At the core of our innovation is Cara, our next-generation AI platform that unlocks powerful ... Your Opportunity You will be an important member of Implementation team within Terarecon and ...

Partner with stakeholders to implement system enhancements, AI, and automation opportunities * Maintain comprehensive documentation of support processes and procedures Sound Like You? Required ...

New

Partner with stakeholders to implement system enhancements, AI, and automation opportunities * Maintain comprehensive documentation of support processes and procedures Sound Like You? Required ...

New

Showing results 21-40

Ai Implementation information

See Boston, MA salary details

$42.4K

$112.5K

$182.5K

How much do ai implementation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai implementation in Boston, MA is $112,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Boston, MA?

The most popular types of Ai Implementation jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ai Implementation jobs?

Cities near Boston, MA with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 91% Full Time, 5% Part Time, and 2% Nights. Highlights an 62% In-person, 11% Hybrid, and 27% Remote job distribution, with an average salary of $112,462 per year, or $54.1 per hour.

Information Security Architect - AI

Wolters Kluwer

Waltham, MA • On-site

$107K - $188K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 246 rated software companies


Job description

Information Security Architect - AI Risk Management

Job Overview

We are seeking an Information Security Architect specializing in AI risk management to accelerate the secure adoption of Generative AI across the enterprise. This role acts as a strategic partner to business and IT leaders, streamlining reviews, shaping security controls, and ensuring AI deployments align with industry standards, regulatory expectations, and enterprise risk appetite. The successful candidate will combine deep security expertise with a forward-looking grasp of AI governance, enabling the organization to innovate confidently and securely.

Primary Responsibilities

  • Review and assess Generative AI implementations to identify risks and ensure compliance with enterprise policies, industry standards, and regulatory frameworks.
  • Design and implement security controls aligned with both IT systems and business objectives, with emphasis on AI-specific risks.
  • Develop and apply AI risk models aligned with NIST AI RMF, ISO/IEC 42001, and other emerging frameworks.
  • Integrate AI risk considerations into enterprise governance processes; lead or support reviews of AI and emerging technology deployments.
  • Apply threat modeling techniques such as the OWASP Top 10 for LLMs to identify, prioritize, and mitigate AI-specific risks.
  • Collaborate with cross-functional teams (engineering, data science, compliance, product) to embed security into AI solution design and deployment.
  • Continuously monitor emerging trends in AI governance, security standards, and enterprise risk management best practices.

Required Qualifications

  • Strong understanding of AI risk management, with working knowledge of NIST AI RMF and ISO/IEC 42001.
  • Experience in information security with proven ability to assess and implement controls for IT and cloud environments.
  • Familiarity with AI threat models (e.g., OWASP LLM Top 10) and risk mitigation strategies.
  • Strong grasp of cybersecurity fundamentals, IT risk, and enterprise governance.
  • Excellent communication skills, with ability to translate technical risks into business-aligned narratives.
  • Certifications: CISSP, CISA, CISM, or relevant AI governance certifications (e.g., ISACA AI Governance).

Preferred Qualifications

  • Hands-on experience with leading AI platforms, including:
    • Azure OpenAI Services - secure deployment and governance practices.
    • AWS Bedrock - evaluation and integration of models such as Anthropic Claude.
    • Google Cloud Vertex AI - secure implementations within enterprise contexts.
    • Microsoft Copilot - integration patterns and associated risks.
  • Experience with cloud security best practices and enterprise risk management.
  • Background in designing or operationalizing AI governance programs at scale.

Soft Skills

  • Ability to influence and engage stakeholders across technical and business teams.
  • Strong problem-solving, critical thinking, and analytical skills.
  • Collaborative, proactive, and adaptable mindset.

Justification for the Role

The rapid increase in AI implementations within the organization has created a bottleneck in the risk assessment process. This dedicated role will streamline evaluations, accelerate secure adoption, and strengthen enterprise resilience by embedding AI risk management into both governance and technical design.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$107,500.00 - $188,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


What Wolters Kluwer employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Wolters Kluwer logo

About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US