ZipRecruiter

Log In

2

Remote Ai Computer Science Jobs in Tennessee (NOW HIRING)

Relativity

Principal Applied Scientist

Nashville, TN · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or ...

Eliassen Group

Senior AI/ML Engineer

Nashville, TN · Remote

$90 - $100/hr

Remote Reference ID: JN -052026-107129 Date Posted: 05/26/2026 Shortcut: * Description ... BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS ...

Varsity Tutors

Computer Programming Tutor

Memphis, TN · Remote

$40/hr

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

Cigna

AI Business Partner

Franklin, TN · On-site +1

Formal education in engineering, computer science, data science, or related field * Professional training in AI/ML * Hands-on experience building AI or data-intensive systems * Proven experience ...

ECS FEDERAL LLC

AI Expert

Memphis, TN · On-site +1

Everorth ECS is seeking a AI Expert to work hybrid in our Memphis, TN office or fully remote. Tasks ... Applying sound analysis, business practices, and scientific expertise to solve a wide variety of ...

Mwe

User Experience Designer, AI Solutions

Nashville, TN · On-site +1

Remote-first, collaborative team that moves fast and values craft WHAT YOU'LL DO * Serve as the UX ... Bachelor's degree in Design, HCI, Computer Science, or equivalent demonstrated experience Preferred

CTI

AI Developer

Memphis, TN · On-site +1

Bachelor's in Computer Science, Data Science, AI, or related field with equivalent experience considered, or related field or equivalent practical experience. Training and Experience: 3-7 years in ...

next page

Showing results 1-20

All JobsAi Computer Science JobsRemote Ai Computer Science JobsRemote Ai Computer Science Jobs in Tennessee

Remote Ai Computer Science information

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
What are popular job titles related to Remote Ai Computer Science jobs in Tennessee? For Remote Ai Computer Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Ai Computer Science jobs in Tennessee look for? The top searched job categories for Remote Ai Computer Science jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Ai Computer Science jobs? Cities in Tennessee with the most Remote Ai Computer Science job openings:
Remote Ai Computer Science jobs near you
Job #5133: AI Agent Orchestration Lead

Job #5133: AI Agent Orchestration Lead

NexTech Solutions

Memphis, TN • On-site, Remote

Other

Posted 4 days ago

Job description

Job Title: AI Agent Orchestration Lead

Location: Remote or Memphis, TN (Hybrid)

Overview

We are seeking a highly skilled AI Agent Orchestration Lead to help drive the next generation of AI-enabled software delivery. This role is ideal for a hands-on engineering leader who has successfully implemented AI solutions in production environments and can bridge the gap between emerging AI capabilities and enterprise-scale operational adoption.

The ideal candidate will have experience integrating AI solutions into software development and delivery processes, building scalable automation frameworks, and driving cross-functional adoption across engineering, architecture, platform, and security teams. This position focuses on delivering measurable business outcomes through AI-enabled automation rather than experimentation or proof-of-concept initiatives.

Key Responsibilities

Design, implement, and operationalize AI-driven workflows that automate and enhance Software Development Life Cycle (SDLC) activities. Build scalable, production-ready AI orchestration solutions with strong governance, monitoring, lifecycle management, and operational controls. Integrate AI capabilities into existing software delivery ecosystems, including development, testing, release management, observability, and operational processes. Establish repeatable patterns, standards, and best practices for enterprise AI adoption. Implement human-in-the-loop controls, approval workflows, audit mechanisms, and governance practices. Partner with engineering, architecture, security, and platform teams to ensure alignment with enterprise standards and operational requirements. Identify opportunities to improve delivery speed, software quality, operational efficiency, and developer experience through AI-enabled automation. Develop reference architectures, implementation playbooks, and adoption guidance for engineering teams. Communicate progress, risks, adoption metrics, and operational outcomes to technical and business stakeholders.

Required Qualifications

8+ years of experience in software engineering, DevOps, platform engineering, solution architecture, or related technical disciplines. Proven experience implementing and operationalizing AI solutions in production environments. Experience driving SDLC automation initiatives within enterprise technology environments. Strong background integrating solutions into modern software delivery and operational ecosystems. Experience working within governance, compliance, security, and enterprise architecture frameworks. Demonstrated ability to influence teams, establish standards, and drive adoption across multiple stakeholder groups. Excellent communication and collaboration skills.

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Experience designing, implementing, or supporting AI agent orchestration solutions. Familiarity with AI governance, responsible AI practices, compliance controls, and audit requirements. Strong understanding of platform engineering principles and enterprise-scale software delivery. Experience supporting highly collaborative, cross-functional technical organizations.

How to Apply

Qualified candidates are encouraged to submit an updated resume for confidential consideration. We welcome conversations with professionals who are passionate about leveraging AI to transform software delivery and operational excellence. Third-party agencies and consulting firms, please do not inquire.

Apply