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Ai In Finance Jobs in Rhode Island (NOW HIRING)

Systems Analyst

Smithfield, RI · On-site

$65 - $70/hr

S. in Finance, Computer Science, Management Information Systems, or equivalent experience ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Ability to adopt new technologies and support AI-enabled ways of working in finance operations * Excellent communication and stakeholder management skills * Experience working in a large, complex ...

Finance Tutor

Providence, RI · Remote

$18 - $40/hr

What We Look For In a Finance Tutor * Advanced Subject Mastery: Deep knowledge of time value of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Corporate Finance Tutor * Advanced Subject Mastery: Deep knowledge of capital ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Familiarity with AI concepts or emerging technologies is a plus. * Experience in workplace benefits or financial services is a plus. Education Requirements: Bachelor's degree required. Recruitment ...

... financial cards. With a history of pioneering patented technologies and expertise, business ... We use AI in a responsible manner and in accordance with applicable data privacy laws and ...

Full Stack Engineer

Smithfield, RI · On-site

$69 - $74/hr

... financial services. * Proficiency with server-side and mid-tier technologies: Java 11+, Java EE ... The use of AI in our process is intended to support fairness, efficiency, and consistency, and ...

Experience Requirements: * 5+ years of systems analysis experience; financial services experience ... The use of AI in our process is intended to support fairness, efficiency, and consistency, and ...

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Showing results 1-20

Ai In Finance information

See Rhode Island salary details

$24.5K

$90.7K

$132.7K

How much do ai in finance jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai in finance in Rhode Island is $90,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $106,700.00 per year, depending on experience, location, and employer.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in finance?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

How do professionals in AI in finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Ai In Finance jobs in Rhode Island?

For Ai In Finance jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Ai In Finance jobs in Rhode Island look for?

The top searched job categories for Ai In Finance jobs in Rhode Island are:

Infographic showing various Ai In Finance job openings in Rhode Island as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $90,715 per year, or $43.6 per hour.

Senior Finance AI & Automation Developer

EnerSys

Adamsville, RI • On-site, Remote

$95K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


EnerSys rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

200th of 544 rated manufacturers


Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $95,300.00 - $142,900.00 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Work Arrangement: Hybrid (Reading, PA) or Remote

Hybrid Schedule for Local Candidates:

  • Monday & Friday: Remote

  • Tuesday-Thursday: Onsite at our Reading, PA location

Candidates outside the Reading, PA area may be considered for a fully remote arrangement.

Job Purpose

The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc. 

Essential Duties and Responsibilities
  • Design and Build Automation Solutions
  • Transformation Project Leadership
  • Power BI, Power Automate, & Power Query Projects
  • AI Agent & Chatbot Projects
  • AI Workflow Projects
  • Predictive Modeling Projects
  • Educate Finance Team about AI Applications & Tools
  • Project Documentation and Change Management
  • Finance SharePoint Site Administration
  • Ad Hoc Projects & Tasks
 
SUPERVISORY RESPONSIBILITIES: No direct reports but will lead projects
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
Education and/or Experience:
  • Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent
  • Project Management experience required
  • Digital Process Automation experience required
  • AI workflow experience required
  • AI Agent creation experience required
  • App building experience required (personal and/or professional)
  • AI-generated coding experience required (i.e. Claude Code, Codex)
  • Azure experience required
  • Strong understanding of data structure and APIs required
  • Experience with Python and/or other code languages required
  • 6 Sigma Black Belt certification preferred  
  • Lean methodology experience preferred
  • Strong IT skills including proficiency with Microsoft Office applications; enterprise resource planning systems (i.e., SAP), etc. 
  • Power BI, Power Automate, & Power Query experience preferred
  • 3-5 Years of relevant experience or equivalent based on project volume and scope
 
Other Skills:
  • Creative in finding solutions and overcoming obstacles
  • Initiative: Aggressive while using good judgment
  • Skilled with data management & project completion
  • Ability to present findings and data to different audiences up to the Executive level
  • Team player while also excelling as an individual contributor.
  • Fast learner with strong analytical and problem-solving skills.
  • Able to successfully manage multiple projects and tasks with various deadlines.
  • Articulate, Positive & Outgoing communicator
  • Optimistic change agent that stays on the cutting edge of technology and technical requirements.
  • Curious: willing to ask questions and learn
  • Highly motivated
  • Adaptable to change
  • Exhibit a servant attitude toward colleagues and internal customers
General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

Know Your Rights

Know Your Rights (Spanish)

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.


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