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Remote Financial Systems Engineer Jobs in Vermont

Agilent

Channel Assist Engineer

Winooski, VT · Remote

$50.62 - $94.90/hr

Providing remote technical support to FSEs working with BioTek (PLXB) Cell Analysis products ... Experienced in customer support or operation of BioTek (PLXB) systems * Interested in assisting ...

Fluency

Vice President of Engineering

Burlington, VT · Remote

$172K - $260K/yr

Remote Leadership Excellence: Lead and foster a high-performance, geographically distributed remote ... Systems Thinker: Proven ability to build "systems of people" that solve complex problems without ...

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All JobsFinancial Systems Engineer JobsRemote Financial Systems Engineer JobsRemote Financial Systems Engineer Jobs in Vermont

Remote Financial Systems Engineer information

What is a remote financial systems engineer?

A Remote Financial Systems Engineer is a technology professional who designs, implements, and maintains software and hardware systems used by financial organizations, while working remotely. They focus on ensuring that financial systems are secure, reliable, and compliant with regulatory standards. Their work often involves integrating new technologies, troubleshooting issues, and optimizing system performance. By working remotely, they leverage digital collaboration tools to communicate with teams and manage projects from anywhere.

What are the key skills and qualifications needed to thrive as a remote financial systems engineer?

To thrive as a Remote Financial Systems Engineer, you need strong analytical skills, expertise in financial systems integration, and a solid foundation in computer science or information systems, often evidenced by a relevant degree. Familiarity with financial ERP platforms (such as SAP, Oracle, or Workday), scripting languages, and relevant certifications (e.g., Certified Information Systems Auditor) is typically required. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills set top performers apart in this role. These competencies ensure seamless system performance, data accuracy, and efficient collaboration with distributed teams in a critical, compliance-driven environment.

How does a remote financial systems engineer typically collaborate with cross-functional teams while working from home?

As a Remote Financial Systems Engineer, you'll frequently collaborate with accounting, IT, and business operations teams using digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings are common to discuss project requirements, troubleshoot system issues, and align on process improvements. Clear documentation and proactive communication are essential to ensure seamless integration and support for financial applications across departments. While remote, you'll be expected to maintain strong relationships and deliver solutions that meet the evolving needs of stakeholders.

What is the difference between Remote Financial Systems Engineer vs Remote Financial Analyst?

AspectRemote Financial Systems EngineerRemote Financial Analyst
Required CredentialsBachelor's in Finance, IT, or related field; certifications like CFA or CPA beneficialBachelor's in Finance, Economics, or related field; CFA often preferred
Work EnvironmentTechnical teams, IT departments, financial software environmentsFinancial departments, investment firms, corporate finance teams
Employer & Industry UsageFinancial institutions, tech companies, banksInvestment firms, corporate finance, consulting
Common Search & ComparisonFocuses on systems, software, and technical financial infrastructureFocuses on financial data analysis, reporting, and decision-making

The Remote Financial Systems Engineer primarily manages and maintains financial software systems, ensuring technical functionality. In contrast, the Remote Financial Analyst interprets financial data to support business decisions. Both roles require finance knowledge, but their focus areas differ significantly.

What are popular job titles related to Remote Financial Systems Engineer jobs in Vermont?

For Remote Financial Systems Engineer jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Remote Financial Systems Engineer jobs in Vermont look for?

The top searched job categories for Remote Financial Systems Engineer jobs in Vermont are:

What cities in Vermont are hiring for Remote Financial Systems Engineer jobs?

Cities in Vermont with the most Remote Financial Systems Engineer job openings:

Remote Financial Systems Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Essex Junction, VT • Remote

Full-time

Re-posted 15 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