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Rpa In Banking Jobs in Rye, NH (NOW HIRING)

DTSV, Inc.

Business Analyst - DAYS

Portsmouth, NH · On-site

Experience with Power Automate, AutoHotKey, and/or other robotic process automation (RPA) ... You will primarily work in an office environment but may be required to work in other work ...

Akima, LLC

Business Analyst - DAYS

Portsmouth, NH · On-site

In accordance with a U.S. State Department memo dated February 14, 2025, all employees are now ... Experience with Power Automate, AutoHotKey, and/or other robotic process automation (RPA) ...

Danaher

Software Automation Internships

Derry, NH · On-site

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

Danaher

Software Automation Internships

Rochester, NH · On-site

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

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Showing results 1-20

All JobsRpa In Banking JobsRpa In Banking Jobs in Rye, NH

Rpa In Banking information

See Rye, NH salary details

$11.2K

$82.8K

$122.2K

How much do rpa in banking jobs pay per year?

As of Aug 12, 2026, the average yearly pay for rpa in banking in Rye, NH is $82,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $121,700.00 per year, depending on experience, location, and employer.

Is RPA in banking still in demand?

RPA in banking remains in high demand as financial institutions seek to automate repetitive tasks, improve efficiency, and reduce operational costs. Professionals with skills in RPA tools like UiPath or Automation Anywhere, along with process analysis, are increasingly sought after in the industry.

How does an RPA professional typically collaborate with banking teams to implement automation solutions?

RPA professionals in banking often work closely with cross-functional teams, including IT, operations, compliance, and business analysts. They participate in process mapping sessions to understand existing workflows and identify automation opportunities. Effective communication is key, as RPA specialists translate business requirements into technical specifications, develop automation bots, and conduct user training. Collaboration ensures that automation solutions align with regulatory standards and deliver measurable efficiency improvements.

What is RPA in banking?

RPA, or Robotic Process Automation, in banking refers to the use of software robots or 'bots' to automate repetitive, rule-based tasks traditionally performed by humans. In the banking sector, RPA can streamline processes such as account opening, KYC verification, loan processing, compliance checks, and transaction monitoring. By implementing RPA, banks can reduce operational costs, minimize human errors, speed up service delivery, and allow employees to focus on more strategic tasks. RPA also helps improve customer satisfaction by enabling faster and more accurate services.

What are the key skills and qualifications needed to thrive as an RPA specialist in banking?

To thrive as an RPA Specialist in Banking, you need a solid background in process automation, business analysis, and financial operations, typically with a degree in computer science, information technology, or finance. Familiarity with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, along with relevant certifications, is often required. Strong problem-solving, attention to detail, and effective communication skills help professionals collaborate with stakeholders and ensure smooth implementation. These abilities are crucial for optimizing banking processes, reducing errors, and improving efficiency in a highly regulated environment.

What is the difference between Rpa In Banking vs Rpa Developer?

AspectRpa In BankingRpa Developer
Required CredentialsTypically includes certifications like UiPath, Automation Anywhere, or Blue Prism; banking domain knowledgeFocuses on RPA tools certifications; programming skills in languages like Python, Java, or C#
Work EnvironmentBanking institutions, financial services, back-office operationsIT departments, software development firms, automation projects
Employer & Industry UsageFinancial institutions implementing RPA for compliance, efficiencyTech companies, consulting firms, organizations developing RPA solutions

Rpa In Banking involves applying RPA technology specifically within banking operations, focusing on automating financial processes. Rpa Developers design, develop, and implement RPA solutions across various industries. While Rpa In Banking professionals often have domain-specific knowledge, Rpa Developers require strong programming skills. Both roles may collaborate but serve different functions within automation projects.

Rpa In Banking jobs near you
Infographic showing various Rpa In Banking job openings in Rye, NH as of August 2026, with employment types broken down into 32% Full Time, and 68% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $82,802 per year, or $39.8 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Derry, NH • On-site

Other

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply