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Remote Ai Computer Science Jobs in Vernon, CT (NOW HIRING)

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ... AI- and LLM-enabled features. * Demonstrated experience interpreting SAST, DAST, and SCA results ...

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ... AI- and LLM-enabled features. * Demonstrated experience interpreting SAST, DAST, and SCA results ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Master's or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer ...

AVP Applied AI

Hartford, CT · On-site +1

$182K - $273K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Master's or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Showing results 41-60

Remote Ai Computer Science information

See Vernon, CT salary details

$83.5K

$102.4K

$135.4K

How much do remote ai computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote ai computer science in Vernon, CT is $102,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $114,900.00 per year, depending on experience, location, and employer.

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?

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 job categories do people searching Remote Ai Computer Science jobs in Vernon, CT look for?

The top searched job categories for Remote Ai Computer Science jobs in Vernon, CT are:

What cities near Vernon, CT are hiring for Remote Ai Computer Science jobs?

Cities near Vernon, CT with the most Remote Ai Computer Science job openings:

Infographic showing various Remote Ai Computer Science job openings in Vernon, CT as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $102,448 per year, or $49.3 per hour.

Enterprise Solutions Architect as 100% Remote

Amicis Global

Hartford, CT • Remote

$120/hr

Contractor

Re-posted 2 days ago


Job description

Job Title: Enterprise Solutions Architect
Location: 100% Remote
Duration: 06 Months
Pay Rate: $100.00 - $120.00/- on W2
 
 
Kindly send me your most updated resume
 
 
Roles and Responsibilities:

Enterprise Architecture & Solution Governance (Equal Priority)

Lead and execute enterprise solution governance processes, ensuring alignment with established EA standards, reference architectures, and approved integration and security patterns.
Actively participate as a member of the Architecture Review Board (ARB), contributing to architectural decision-making, risk assessment, and solution approvals.
Establish and operate a Permit-to-Build tollgate, governing both greenfield and modernization initiatives across all Lines of Business (LOBs), including GenAI, data, and advanced analytics solutions.
Ensure all governed solutions comply with regulatory and compliance mandates (HIPAA, GDPR, SOX), with particular attention to cloud, data, and AI-driven architectures.
Lead or contribute to architecture scoring and design quality assessments, ensuring solutions meet enterprise standards for resiliency, scalability, security, and maintainability.
Partner closely with peer Enterprise Architects to assign primary assessors, review incoming initiatives, and maintain a forward-looking pipeline of governance demand.

Solution Architecture & Hands‑On Agentic AI Development (Equal Priority)

Design and implement end-to-end solution architectures, moving beyond conceptual models into executable designs and working prototypes, particularly in cloud-native and AI-driven domains.
Lead hands-on Proofs of Concept (POCs) to validate emerging technologies, platforms, and services—specifically Agentic AI patterns such as autonomous agents, task orchestration, tool-use agents, and multi-agent workflows.
Architect and build Agentic AI workflows using modern GenAI platforms, with preferred experience in:
AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/or
GCP Vertex AI (agents, pipelines, orchestration, model lifecycle management).
Apply strong solution architecture practices to translate business problems into AI-enabled architectures, including prompt strategies, agent memory, tool integration, event-driven triggers, and observability.
Design secure, scalable, and governed AI solutions, ensuring alignment with enterprise security, data privacy, and compliance expectations from inception through production readiness.
Collaborate with engineering teams to bridge architecture and implementation, providing reference implementations, design artifacts, and technical guidance that accelerates delivery while reducing rework.

Technology Evaluation & Innovation Enablement

Evaluate and assess new technology platforms and AI services prior to POC approval or enterprise onboarding, balancing innovation with risk management.
Drive architectural clarity around GenAI, Agentic AI, and emerging cloud-native patterns, ensuring these innovations are introduced responsibly within enterprise guardrails.
Contribute to reference architecture evolution, especially for AI-enabled, event-driven, and cloud-native solutions.

EA Tooling, Metrics & Enablement

Define and track solution governance KPIs using the EA tool, including technology debt, reverse demand by LOB, and approval outcomes.
Support EA enablement through SharePoint, Power Automate, PowerApps, and Power BI, improving transparency, workflow efficiency, and architectural insight.

Qualifications & Experience

Architecture & Governance

8–10+ years of experience in Enterprise and Solution Architecture, including active participation in ARBs and formal governance processes.
Strong experience creating and enforcing reference architectures, standards, and patterns in regulated environments.

Solution Architecture & Hands‑On Delivery

Recent, hands-on experience designing and building solutions—not just reviewing them—particularly in cloud-native and GenAI domains.
Demonstrated experience building Agentic AI or GenAI-driven POCs, including orchestration, integration, and lifecycle considerations.
Deep knowledge of AWS and/or GCP, with architectural fluency across compute, networking, storage, databases, and AI services.

Education & Certifications

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field; MBA a plus.
Preferred certifications: TOGAF, AWS Solutions Architect, GCP Professional Architect, or equivalent.
Trying to management the existing solutions architect process
Responsible for managing, maintaining and enhancing this process
Introducing GenAI
Some GCP experience or exposure would be very useful and beneficial
 Building it in power tools - power automate, power app, powerbi (need experience with those)

What This Role Delivers

Governance with credibility: Architecture decisions informed by real, hands-on solution experience.
Faster innovation: Reduced friction between architecture intent and execution through POCs and reference implementations.
Responsible AI adoption: Agentic AI solutions that are scalable, secure, and enterprise-ready from day one.
 
 
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