ZipRecruiter

Log In

2

Remote Ai Implementation Jobs in Georgetown, TX (NOW HIRING)

Roku

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android ... Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue ...

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · Remote

$107K - $146K/yr

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · On-site +1

$103K - $142K/yr

We strategize, advise, design, develop and implement future-forward business & technology solutions ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

De Circle

Etherialize - Applied AI Engineer

Austin, TX · On-site +1

Help identify and implement high-leverage AI use cases across the company and evolve our team from ... across remote environments. This role is likely not a fit if you are primarily interested in:

Human Agency

AI Resilience Fund Manager - Austin

Austin, TX · Remote

$68K - $93K/yr

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... From advisory and tooling to implementation and education, we meet clients where they are and help ...

Driver AI Inc.

DevOps Engineer

Austin, TX · On-site +1

$150K - $250K/yr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Implement monitoring, logging, and alerting systems * Improve developer experience and internal ...

Driver AI Inc.

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn ... Implement monitoring, logging, and alerting systems * Improve developer experience and internal ...

Driver AI Inc.

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ... Asynchronous and distributed implementation for transpiler task orchestration. * Bring strong ...

Driver AI Inc.

Software Engineer - Backend

Austin, TX · Remote

Remote or Austin, TX About the Role Our core innovation, the Driver Transpiler, treats software ... Asynchronous and distributed implementation for transpiler task orchestration. * Bring strong ...

previous page

Showing results 41-60

All JobsAi Implementation JobsRemote Ai Implementation JobsRemote Ai Implementation Jobs in Georgetown, TX

Remote Ai Implementation information

See Georgetown, TX salary details

$25

$47

$75

How much do remote ai implementation jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote ai implementation in Georgetown, TX is $47.76, according to ZipRecruiter salary data. Most workers in this role earn between $35.72 and $56.73 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.
What are popular job titles related to Remote Ai Implementation jobs in Georgetown, TX? For Remote Ai Implementation jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Ai Implementation jobs in Georgetown, TX look for? The top searched job categories for Remote Ai Implementation jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Ai Implementation jobs? Cities near Georgetown, TX with the most Remote Ai Implementation job openings:
Remote Ai Implementation jobs near you

Amazon Connect and Agentic AI Specialist, Senior Principal Consultant

TTEC Digital

Austin, TX • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

At TTEC Digital, we coach clients to ensure their employees feel valued and fully supported because an amazing customer experience is an employee-first process. Our vision is the same: a place where employees know they can thrive.

The TTEC Digital AWS Partner Practice is comprised of more than 150 brilliant experts, has been recognized with best-in-class awards from AWS, was the first signed Amazon Connect partner globally, and has delivered more than 500 AWS customer launches that improved customer experience for more than 3.5 million conversations to date.

TTEC Digital is seeking an Amazon Connect and Agentic AI Specialist to join our team. This is a remote role based in the US.  As a key member of our delivery teams, the Amazon Connect and Agentic AI Specialist leads the design of AI-enabled capabilities in Amazon Connect contact center environments. This role works with business and technology stakeholders to define use cases, assess data and knowledge readiness, create practical AI solution architectures, and recommend a roadmap across capabilities such as authentication, NLU and intent recognition, FAQ and knowledge base experiences, agent assist, workspace automation, account inquiry, and AI-enabled self-service. The ideal candidate combines hands-on GenAI expertise with enough Amazon Connect context to design solutions that can be implemented by platform and engineering teams.

What you'll be doing:
  • Lead AI discovery and use case design workshops with business and technology stakeholders across authentication, NLU and intent recognition, FAQ and knowledge base, agent assist, workspace automation, account inquiry, and self-service capabilities.
  • Define solution architectures that leverage Amazon Connect AI capabilities, LLMs, agentic AI patterns, knowledge sources, and integration points needed for customer-facing and agent-facing experiences.
  • Evaluate the current data landscape, knowledge sources, content quality, security constraints, and integration readiness for retrieval-augmented generation and agentic AI use cases.
  • Develop an Agentic AI roadmap with clear recommendations on feasibility, implementation effort, business impact, responsible AI considerations, and dependencies.
  • Design AI-enabled customer and colleague experiences, including intent handling, confidence thresholds, escalation logic, agent-assist workflows, summarization, knowledge suggestions, and human-in-the-loop patterns.
  • Partner with Amazon Connect platform specialists to ensure AI designs can be translated into contact flows, Lex orchestration, Agent Workspace, Contact Lens, Amazon Q in Connect, reporting, and operational support models.
  • Create design documentation that clearly distinguishes Amazon Connect platform responsibilities from AI model, knowledge management, orchestration, and governance responsibilities.
  • Provide guidance on responsible AI, model behavior, safety considerations, prompt and response design, data handling, monitoring, and governance for AI-enabled contact center solutions.
Skills and experience you will bring:
  • Hands-on expertise with large language models, agentic AI patterns, prompt and response design, responsible AI frameworks, and practical AI solution architecture.
  • Experience designing GenAI or agentic AI capabilities for contact center, customer service, employee assist, or knowledge management environments.
  • Working knowledge of Amazon Connect capabilities, including contact flows, Agent Workspace, Contact Lens, reporting, Lex orchestration, and AI-enabled agent experiences.
  • Experience evaluating knowledge sources and enterprise data readiness for RAG-enabled use cases, including content quality, access controls, freshness, and governance considerations.
  • Ability to translate ambiguous business opportunities into structured AI use cases, feasibility assessments, roadmap recommendations, and implementation-ready design artifacts.
  • Understanding of customer experience design concepts such as self-service containment, authentication tolerance, escalation paths, fallback handling, and agent handoff.
  • Strong workshop facilitation skills with business stakeholders, technology teams, security, compliance, operations, and delivery leadership.
  • Ability to partner with platform, integration, data, and engineering resources to move from AI concept to implementable solution design.
Preferred experience:
  • Prior financial services, healthcare, public sector, or regulated-industry contact center implementation experience.
  • Experience with Amazon Q in Connect, Connect AI Agents, Amazon Lex, Amazon Bedrock, NLX, ACXD, or comparable AI/contact center platforms.
  • Experience with AI governance, model evaluation, monitoring, auditability, traceability, and responsible AI controls.
  • Experience with bilingual or multilingual journey design.
  • Experience developing business cases, adoption roadmaps, or implementation plans for enterprise AI initiatives.
$140,000 - $190,000 a year
#LI-BN1

This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.  
 
Benefits available to eligible employees include the following: 
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
 
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
 
 
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
 
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
 
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
 
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
 
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply