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Internship Remote Robotics Engineer Jobs in Dallas, TX

HedgeServ

Compliance Associate

Dallas, TX · On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

wwex

Director of Talent Acquisition

Dallas, TX · On-site +1

$102K - $141K/yr

Cutting-edge Software Engineering (platform, AI/BI, data, DevOps) * Build a scalable, high ... Develop structured internship, co-op, and graduate hiring programs aligned to future workforce ...

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Internship Remote Robotics Engineer information

See Dallas, TX salary details

$13

$25

$38

How much do internship remote robotics engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for internship remote robotics engineer in Dallas, TX is $25.14, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.56 per hour, depending on experience, location, and employer.

What is the difference between Internship Remote Robotics Engineer vs Remote Robotics Technician?

AspectInternship Remote Robotics EngineerRemote Robotics Technician
Required CredentialsEnrolled in or recent graduate of engineering or robotics programTechnical diploma or associate degree in robotics, electronics, or related field
Work EnvironmentRemote, project-based, collaborative with engineersRemote or on-site, hands-on troubleshooting and maintenance
Employer & Industry UsageTech companies, research labs, startupsManufacturing, automation, service industries

The Internship Remote Robotics Engineer typically focuses on learning and supporting robotics projects remotely, often involving design and programming tasks. In contrast, the Remote Robotics Technician emphasizes remote troubleshooting and maintenance of robotic systems. Both roles require technical knowledge, but the internship is more educational and developmental, while the technician role is more hands-on and operational.

What are the most commonly searched types of Remote Robotics Engineer jobs in Dallas, TX?

The most popular types of Remote Robotics Engineer jobs in Dallas, TX are:

What are popular job titles related to Internship Remote Robotics Engineer jobs in Dallas, TX?

For Internship Remote Robotics Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Internship Remote Robotics Engineer jobs in Dallas, TX look for?

The top searched job categories for Internship Remote Robotics Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Internship Remote Robotics Engineer jobs?

Cities near Dallas, TX with the most Internship Remote Robotics Engineer job openings:

Internship Remote Robotics Engineer jobs near you
Infographic showing various Internship Remote Robotics Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,298 per year, or $25.1 per hour.

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

Cognizant Technology Solutions

Dallas, TX • On-site, Remote

Full-time

Re-posted 4 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.

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