ZipRecruiter

Log In

2

Computer Vision Remote Jobs in McKinney, TX (NOW HIRING)

Danaher

IT Project Manager - Remote

Dallas, TX · On-site +1

$120K - $160K/yr

Bachelor's degree in computer science or related field or equivalent experience * Proven track ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to ...

Quora

iOS Engineer -Remote

Mckinney, TX · Remote

$61.63 - $88.47/hr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

previous page

Showing results 41-60

All JobsComputer Vision JobsComputer Vision Remote JobsComputer Vision Remote Jobs in McKinney, TX

Computer Vision Remote information

See McKinney, TX salary details

$11

$19

$29

How much do computer vision remote jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for computer vision remote in McKinney, TX is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.63 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are popular job titles related to Computer Vision Remote jobs in McKinney, TX? For Computer Vision Remote jobs in McKinney, TX, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in McKinney, TX look for? The top searched job categories for Computer Vision Remote jobs in McKinney, TX are:
What cities near McKinney, TX are hiring for Computer Vision Remote jobs? Cities near McKinney, TX with the most Computer Vision Remote job openings:
Computer Vision Remote jobs near you

Principal AI Architect - Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

Cognizant Technology Solutions

Dallas, TX • On-site, Remote

Full-time

Re-posted 27 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Role Overview Hands-on AI Architect to design and deliver enterprise-grade AI systems spanning Agentic AI, AWS Bedrock, and the full AI/ML spectrum. You will architect multi-agent orchestration pipelines, drive FM and model strategy across cloud and open-source ecosystems, embed AI across enterprise data and application layers, and serve as the senior technical voice in C-suite engagements.
Key Responsibilities
  • Agent Core Design: Architect the foundational agent loop - perception, planning, tool selection, execution, self-reflection, and memory - using frameworks such as LangGraph, AutoGen, CrewAI, or custom Bedrock-native implementations. Design for goal decomposition, error recovery, and dynamic replanning in long-horizon autonomous tasks.
  • Agentic Architecture on Bedrock: Build production multi-agent systems using Bedrock Agents - defining supervisor/sub-agent hierarchies, action groups, session memory, and inline agents for complex enterprise workflows.
  • RAG & Knowledge Layer: Design Knowledge Base pipelines with vector stores (OpenSearch Serverless, Aurora pgvector, Pinecone) - covering chunking strategies, embedding models, hybrid search, and retrieval optimization.
  • Tool & API Integration: Engineer Lambda-backed action groups (Python/Node.js), API Gateway, and Step Functions to enable agents to invoke enterprise APIs, databases, and third-party systems.
  • Broad-Spectrum AI/ML: Architect and oversee the full AI lifecycle - classical ML, NLP pipelines, computer vision, fine-tuning, and custom model training on SageMaker.
  • Model & FM Strategy: Drive selection across Anthropic Claude, Amazon Titan, Meta Llama, Mistral, and open-source LLMs - evaluating latency, cost, context fit, and reasoning fidelity. Enforce Bedrock Guardrails and responsible AI controls at scale.
  • MLOps & Observability: Define CI/CD pipelines (CDK/CloudFormation) for agent and model deployment; monitor via CloudWatch, Bedrock invocation logs, SageMaker Model Monitor, and X-Ray for cost, drift, and hallucination tracking.
  • Hybrid & Multi-Platform AI: Integrate AWS-native AI with Azure OpenAI, Vertex AI, or Hugging Face; bridge Bedrock agents with on-premise RPA platforms (UiPath, Automation Anywhere) via event-driven patterns.
  • Executive Advisory: Lead C-suite workshops to define AI strategy, shape build-vs-buy decisions, and quantify ROI across the AI portfolio

Technical Requirements
  • Agent Core & LLM Patterns: Deep hands-on expertise in agentic reasoning loops (ReAct, Reflexion, Plan-and-Execute), multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI), prompt engineering, tool-use design, and context window management for long-running autonomous workflows.
  • AWS Bedrock & Agentic Stack: Proficient with Bedrock Agents, Knowledge Bases, Guardrails, Model Evaluation, and inline agent patterns; experienced in configuring supervisor/sub-agent architectures at enterprise scale.
  • Broad AI/ML Stack: Hands-on with SageMaker (training, inference, pipelines) and core ML/NLP/CV frameworks - scikit-learn, HuggingFace Transformers, PyTorch/TensorFlow.
  • Data & Integration Layer: Strong command of vector DBs (OpenSearch Serverless, Aurora pgvector, Pinecone), RAG pipeline design, AWS Lambda/API Gateway/Step Functions, and event-driven architectures.
  • MLOps & IaC: AWS CDK/CloudFormation for repeatable deployments; MLflow or SageMaker Experiments for model tracking; CI/CD tooling for agent versioning and rollback.
  • Preferred: Multi-cloud AI exposure (Azure OpenAI, Vertex AI) • RPA platforms (UiPath, Automation Anywhere) • AWS Certified Solutions Architect - Professional or ML Specialty.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply