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Remote Solutions Engineer Jobs in Tennessee (NOW HIRING)

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Remote Solutions Engineer information

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$40.4K

$111.9K

$164.7K

How much do remote solutions engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote solutions engineer in Tennessee is $111,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $127,500.00 per year, depending on experience, location, and employer.

What is a Remote Solutions Engineer job?

A Remote Solutions Engineer is a technical professional who helps customers understand, implement, and optimize a company's products or services, typically in a pre-sales or post-sales capacity. They work remotely to assess client needs, provide technical demonstrations, troubleshoot issues, and collaborate with sales and engineering teams. Their role often requires a mix of technical expertise, communication skills, and problem-solving abilities to ensure customer success.

What are the primary responsibilities of a Remote Solutions Engineer on a daily basis?

A Remote Solutions Engineer typically spends their days designing technical solutions, troubleshooting client issues, and collaborating with both internal teams and clients via video calls, chat, or emails. Responsibilities often include gathering requirements, developing and implementing architectures, supporting technical pre-sales processes, and providing ongoing support and optimization for deployed solutions. Because the role is remote, strong self-management and proactive communication are essential, and most interaction happens in a virtual team environment. This allows for flexibility, but also requires a high degree of autonomy and accountability to ensure project milestones and customer satisfaction are consistently achieved.

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

To thrive as a Remote Solutions Engineer, you need strong technical expertise in IT systems, software development, and solutions architecture, typically backed by a degree in computer science or a related field. Experience with cloud platforms (like AWS, Azure, or Google Cloud), networking tools, and relevant certifications such as AWS Certified Solutions Architect or CompTIA Network+ are highly valued. Exceptional communication, problem-solving skills, and the ability to manage projects independently are crucial soft skills for this remote role. These competencies ensure you can effectively design, implement, and support tailored solutions for clients while collaborating with distributed teams and meeting business objectives.

What are the most commonly searched types of Solutions Engineer jobs in Tennessee? The most popular types of Solutions Engineer jobs in Tennessee are:
What are popular job titles related to Remote Solutions Engineer jobs in Tennessee? For Remote Solutions Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Solutions Engineer jobs in Tennessee look for? The top searched job categories for Remote Solutions Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Solutions Engineer jobs? Cities in Tennessee with the most Remote Solutions Engineer job openings:
Remote Solutions Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Jackson, TN • Remote

Other

Posted 24 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