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Ai Platform Engineer Jobs in Fall River, MA (NOW HIRING)

widenet

AI Platform Migration Engineer

Providence, RI · On-site

$75 - $85/hr

Overview We're looking for a hands-on Migration Engineer to lead our enterprise transition from multiple AI platforms (Claude, ChatGPT, Copilot, and others) onto a single, standardized "golden ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

$121 - $173/hr

The role operates at the intersection of cybersecurity, platform engineering, and emerging AI technologies, supporting enterprise AI solutions such as Microsoft Copilot, Claude, and internally ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data ...

First Citizens Bank

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Fall River, MA

Ai Platform Engineer information

See Fall River, MA salary details

$33

$64

$95

How much do ai platform engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai platform engineer in Fall River, MA is $64.20, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $74.09 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Fall River, MA?

For Ai Platform Engineer jobs in Fall River, MA, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Fall River, MA look for?

The top searched job categories for Ai Platform Engineer jobs in Fall River, MA are:

What cities near Fall River, MA are hiring for Ai Platform Engineer jobs?

Cities near Fall River, MA with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Fall River, MA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $133,537 per year, or $64.2 per hour.

AI Platform Migration Engineer

Providence, RI • On-site

widenet
Marketing • 1 - 10 employees
Learn more about widenetexternal

$75 - $85/hr

Contractor

Medical, Retirement

Posted 10 days ago

Job description

Job Description:
Location: This position requires the candidate to work onsite in Renton, WA, with some hybrid flexibility.
Overview
We're looking for a hands-on Migration Engineer to lead our enterprise transition from multiple AI platforms (Claude, ChatGPT, Copilot, and others) onto a single, standardized "golden provider." This is an execution-focused role: you won't just architect the plan, you'll do the migration work yourself, with support from an embedded FTE engineer for coding tasks.
You'll work directly with individual users and teams to understand how they currently use AI tools and rebuild those workflows on the new platform without losing functionality or outcomes.
Key Responsibilities
  • Lead platform migration and infrastructure transformation efforts to consolidate AI tools into a single enterprise-standard provider
  • Design and build a repeatable migration practice/playbook for moving teams and workloads onto the golden provider
  • Configure and troubleshoot MCP (Model Context Protocol) connectors across systems
  • Migrate custom implementations (e.g., custom GPTs, bespoke chat/search tools) into Claude while preserving the original outcome and functionality
  • Partner directly with individual users and teams to migrate their day-to-day workloads
What We're Looking For
  • Strong, hands-on prompt engineering skills - comfortable investigating how an existing AI workflow behaves before rebuilding it
  • A "detective" mindset: curious, resourceful, and comfortable diagnosing ambiguous problems rather than working from a fixed spec
  • Genuine fluency with modern AI tools - you use them yourself, understand why and when to use them, and can speak to their tradeoffs and benefits
  • Bias toward execution: someone who delivers finished migrations, not just migration plans
Technical Skills
  • Programming languages: proficiency in Python and/or TypeScript/JavaScript - the primary languages for the Claude Agent SDK and for building/configuring MCP servers
  • API & integration literacy: comfortable reading and translating between platform-specific API and function-calling schemas (e.g., mapping a custom GPT's Actions or a Copilot extension onto Claude's tool-use format)
  • Claude Skills authoring: able to build and structure Claude Skills (Markdown with YAML frontmatter, plus optional bundled scripts, typically Python)
  • Prompt engineering: skilled at designing, testing, and refining prompts to replicate - and improve on - existing AI workflows
  • Working knowledge of MCP (Model Context Protocol): understands how connectors are configured and troubleshot across systems
  • Basic data/reporting skills: SQL or spreadsheet-level analysis sufficient to monitor token usage and cost trends
Pay Range: $75.00 - $85.00 per hour, depending upon experience.
Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

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