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Python Ai Developer Jobs in Massachusetts (NOW HIRING)

Senior AI DevOps Engineer

Boston, MA · On-site

$141K - $181K/yr

Strong scripting and automation skills using PowerShell, Python, Bash, or similar languages ... DevOps Engineer, or equivalent) strongly preferred. * Experience with Microsoft Foundry, Azure AI ...

Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

o Design, develop, test, and maintain scalable Python applications and services. o Build and ... AI/ML initiatives by developing data processing components and integrating machine learning ...

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. * Strong Python programming experience and familiarity with ...

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. * Strong Python programming experience and familiarity with ...

Python Developer

Boston, MA

$54.50 - $75.25/hr

The company is operating in stealth-mode developing scalable technologies and AI-driven products ... years of Python experience, 5+ years of software engineering experience * Proficiency in unit ...

Python Tutor

Lynn, MA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Python Tutor

Newton, MA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Python Tutor

Waltham, MA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Strong expertise in Python programming with specialization using various GenAI and Agentic ... Good Understanding of GenAI/Agentic AI model architecture best practices. * Hands-on experience in ...

Python Tutor

Lowell, MA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Showing results 21-40

Python Ai Developer information

See Massachusetts salary details

$14

$64

$94

How much do python ai developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for python ai developer in Massachusetts is $64.02, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Massachusetts?

For Python Ai Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Python Ai Developer jobs in Massachusetts look for?

The top searched job categories for Python Ai Developer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Python Ai Developer jobs?

Cities in Massachusetts with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $133,165 per year, or $64 per hour.

Senior AI DevOps Engineer

Boston, MA • On-site

Vertex Pharmaceuticals
Biotechnology Research and Development • 1 - 5K employees

$141K - $181K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Key responsibilities

  • Design, implement, and manage secure, scalable Azure cloud infrastructure supporting enterprise applications, data platforms, and AI-enabled solutions.

  • Build, enhance, and maintain CI/CD pipelines to improve software delivery speed, reliability, quality, and security.

  • Embed security controls throughout the software development lifecycle through DevSecOps practices, automated security scanning, policy enforcement, and compliance monitoring.


Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Job Description
Vertex is seeking a highly skilled Senior Azure DevSecOps Engineer to design, implement, secure, and optimize cloud platforms that power enterprise software, data, and AI-driven solutions. This role will be a key technical contributor supporting VaiDA and other strategic initiatives built on Microsoft Azure, Microsoft Foundry, and related cloud technologies.
Working closely with software engineers, cloud architects, information security teams, and business stakeholders, this individual will drive the adoption of DevSecOps best practices, cloud automation, infrastructure as code, and secure software delivery pipelines. The ideal candidate combines deep Azure expertise with a strong security mindset and a passion for building scalable, resilient, and highly automated platforms.
Key Duties and Responsibilities
  • Design, implement, and manage secure, scalable Azure cloud infrastructure supporting enterprise applications, data platforms, and AI-enabled solutions.
  • Build, enhance, and maintain CI/CD pipelines to improve software delivery speed, reliability, quality, and security.
  • Embed security controls throughout the software development lifecycle through DevSecOps practices, automated security scanning, policy enforcement, and compliance monitoring.
  • Develop and maintain infrastructure as code solutions using Terraform, Bicep, ARM templates, or similar technologies.
  • Partner with Information Security teams to implement and continuously improve identity management, secrets management, vulnerability management, network security, and cloud governance controls.
  • Support and enhance Microsoft Foundry, Azure AI, and related Azure platform services used to develop and deploy AI-powered applications and agents.
  • Establish platform engineering standards, deployment guardrails, and reusable automation patterns that enable secure self-service capabilities for engineering teams.
  • Implement observability, monitoring, logging, alerting, and operational excellence practices to improve platform reliability and performance.
  • Lead troubleshooting and root cause analysis efforts for complex cloud infrastructure, deployment, and security issues.
  • Collaborate with software engineering teams to modernize application deployment architectures and promote cloud-native engineering practices.
  • Evaluate and implement emerging Azure and security technologies to improve platform capabilities and reduce operational risk.
  • Mentor engineers and promote DevSecOps and cloud security best practices across the organization.
Knowledge and Skills
  • Deep expertise with Microsoft Azure cloud services and enterprise-scale cloud operations.
  • Strong experience with Azure DevOps, GitHub Actions, CI/CD automation, and release management.
  • Expertise in infrastructure as code, including Terraform, Bicep, ARM templates, or equivalent technologies.
  • Strong understanding of cloud security principles, including Zero Trust, Identity and Access Management (IAM), Privileged Access Management (PAM), secrets management, encryption, and vulnerability remediation.
  • Experience implementing security tooling and controls within automated delivery pipelines.
  • Hands-on experience with container technologies, including Docker and Kubernetes.
  • Strong scripting and automation skills using PowerShell, Python, Bash, or similar languages.
  • Experience with monitoring, observability, incident management, and platform reliability practices.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Strong problem-solving skills and a continuous improvement mindset.
  • Demonstrated ability to work effectively in highly collaborative, cross-functional environments.
Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or the equivalent combination of education and experience.
  • Typically requires 8+ years of experience in cloud engineering, DevOps, platform engineering, site reliability engineering, or related technical disciplines.
  • 5+ years of hands-on experience supporting production workloads in Microsoft Azure.
  • Experience building and operating enterprise-scale CI/CD platforms and cloud infrastructure.
  • Experience implementing cloud security controls and DevSecOps practices within regulated or security-conscious environments preferred.
  • Microsoft Azure certifications (Azure Solutions Architect, Azure Security Engineer, Azure DevOps Engineer, or equivalent) strongly preferred.
  • Experience with Microsoft Foundry, Azure AI Services, Azure OpenAI, or related AI platform technologies strongly preferred.
Preferred Experience
  • Experience supporting AI, machine learning, or generative AI platforms.
  • Experience operating in pharmaceutical, biotechnology, healthcare, or other regulated environments.
  • Experience establishing engineering standards and platform governance across multiple development teams.

#LI-HYBRID
At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.
Pay Range:
$112,000 - $168,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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