2

Remote Engineering Manager Jobs in Rutland, VT (NOW HIRING)

AI Automation Engineer -Remote

Rutland, VT · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ...

Cloud Platform Engineer

Rutland, VT · Remote

$57 - $76.25/hr

... management and optimization practices. - Strong collaboration skills across cloud engineering ... remote Minimum Requirements TCS165, T3, Band 6 #TSTECH EEO Statement Maximus is an equal ...

This position is remote. Junior Backup, Restore & Storage Engineer supporting enterprise disaster ... management teams during outages, migrations, and infrastructure events. - Participate in change ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... feature engineering, and model lifecycle management * Implements model monitoring, performance ...

IT Project Manager

Rutland, VT · Remote

$100K - $119K/yr

This is a remote position. Essential Duties and Responsibilities: * Serve as the point of contact ... programming support. * Identify, track, manage, and communicate risks and issues with stakeholders ...

Remote - Nationwide, United States Why WWT? At World Wide Technology, we work together to make a ... management consulting, delivery excellence and engineering brilliance. Our goal is to bring ...

Jira and Jama Product Delivery Specialist

Rutland, VT · Remote

$14 - $17.75/hr

... manage requirements, traceability, reviews, and baselines • Partner with product, engineering ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Sr Automation Engineer Sales

Wood Stock, VT · Remote

$106K - $139K/yr

Vermont Job Type: Full-Time | Remote/Work From Home (Citizen/GC Only) Work Authorization: US ... Infra -- Terraform-managed AWS, Snowflake roles, CI/CD, observability. Must-haves * 6+ years ...

This is a remote position. Maximus TCS (Technology and Consulting Services) Internal Job Profile ... management following established procedures. - Support vulnerability management activities ...

This is a remote position. The Mid-level System Administrator will be supporting Identity ... Access Management (ICAM) services. The role focuses on Tier‑2 directory and SSO operations ...

... Engineering, Project Management, or related field(or equivalent experience per GSA BPA II labor ... Remote Minimum Requirements TCS171, P3, Band 6 EEO Statement Maximus is an equal opportunity ...

next page

Showing results 1-20

Remote Engineering Manager information

See Rutland, VT salary details

$47.6K

$150.4K

$178.2K

How much do remote engineering manager jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote engineering manager in Rutland, VT is $150,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $177,200.00 per year, depending on experience, location, and employer.

Can engineering managers work remotely?

Engineering managers can work remotely, as many companies offer remote or hybrid work arrangements for leadership roles. Success in remote management often depends on strong communication skills, familiarity with collaboration tools, and the ability to oversee teams virtually.

What are some common challenges faced by Remote Engineering Managers, and how are they typically addressed in the work environment?

Remote Engineering Managers often face challenges such as ensuring clear communication across diverse time zones, fostering team cohesion in a virtual setting, and maintaining project visibility. Many companies address these issues by utilizing daily standup meetings, regular one-on-one check-ins, and collaboration tools like Slack, Jira, or Zoom to keep everyone connected and accountable. Managers are encouraged to establish clear processes, transparent goals, and open lines of communication to create a supportive environment. Investing in team-building activities and regular feedback sessions also helps remote teams remain engaged and productive.

What are the key skills and qualifications needed to thrive in the Remote Engineering Manager position, and why are they important?

To thrive as a Remote Engineering Manager, you need a strong background in software engineering, team leadership, and project management, usually supported by a relevant technical degree and previous leadership experience. Familiarity with agile methodologies, code repositories (like Git), collaboration platforms (such as Slack and Jira), and sometimes certifications like PMP are commonly expected. Outstanding communication, conflict resolution, and the ability to motivate and build trust within distributed teams are standout soft skills. These qualities are essential for successfully leading remote teams, ensuring project alignment, and delivering engineering goals efficiently in a virtual environment.

What is a Remote Engineering Manager job?

A Remote Engineering Manager is responsible for leading and overseeing a team of engineers who work remotely. Their duties include setting technical direction, managing projects, ensuring team collaboration, and supporting professional growth. They also focus on communication, process improvement, and aligning the team's work with company goals. Strong leadership, technical expertise, and remote management skills are essential for success in this role.

How much should an engineering manager be paid?

The average salary for an engineering manager varies based on experience, industry, and location but typically ranges from $100,000 to $160,000 annually in many regions. Senior engineering managers with specialized skills or working in high-demand sectors can earn higher compensation, often including bonuses and stock options.

What engineers make $500,000 a year?

Senior engineering managers, principal engineers, and some specialized software engineers in high-demand fields such as AI, cloud computing, or fintech can earn $500,000 or more annually. These roles typically require extensive experience, advanced technical skills, and often involve leadership responsibilities or equity compensation.

What engineers make 200,000 a year?

Senior software engineers, engineering managers, and specialized roles such as cloud architects or data engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation can vary based on location, company size, and technical expertise, with many earning additional bonuses or stock options.
What job categories do people searching Remote Engineering Manager jobs in Rutland, VT look for? The top searched job categories for Remote Engineering Manager jobs in Rutland, VT are:
What cities near Rutland, VT are hiring for Remote Engineering Manager jobs? Cities near Rutland, VT with the most Remote Engineering Manager job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rutland, VT • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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.