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Remote Indigenous Knowledge Systems Jobs in Austin, TX

Kake Group

Senior AI Architect

Austin, TX · Remote

$132K - $180K/yr

Build and evolve scalable retrieval and knowledge systems that support AI-powered experiences ... Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience ...

Raytheon

Systems Obsolescence Manager

Austin, TX · Remote

US-TX-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Working knowledge of proactive and reactive component obsolescence management methodologies. * Data ...

Hireblazer

Windows Systems Administrator

Austin, TX · Remote

$45 - $50/hr

Remote - Texas-based candidates preferred Summary: The client has issued a request for a System ... Candidates must have advanced practical knowledge of Active Directory architecture and ...

SpaceX

Power Systems Engineer

Bastrop, TX · On-site +1

Working knowledge of delta/wye transformers, switchgear, motor control centers, building lighting ... This role requires you to be onsite - hybrid or remote work will not be considered * Must be able ...

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All JobsIndigenous Knowledge Systems JobsRemote Indigenous Knowledge Systems JobsRemote Indigenous Knowledge Systems Jobs in Austin, TX

Remote Indigenous Knowledge Systems information

See Austin, TX salary details

$48.6K

$101.3K

$142.2K

How much do remote indigenous knowledge systems jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote indigenous knowledge systems in Austin, TX is $101,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working remotely in Indigenous Knowledge Systems roles, and how can they be addressed?

Professionals working remotely in Indigenous Knowledge Systems often encounter challenges such as building trust with community members, ensuring accurate representation of cultural knowledge, and navigating communication barriers due to distance and technology limitations. To address these challenges, it's important to prioritize regular, respectful engagement with communities, use culturally appropriate communication tools, and seek guidance from Indigenous leaders and knowledge holders. Establishing clear protocols and maintaining flexibility can help foster strong, collaborative relationships despite working remotely.

What is the difference between Remote Indigenous Knowledge Systems vs Remote Indigenous Education Coordinator?

AspectRemote Indigenous Knowledge SystemsRemote Indigenous Education Coordinator
Required CredentialsIndigenous knowledge certifications, cultural competency trainingEducational degrees, teaching certifications, cultural training
Work EnvironmentCommunity-based, fieldwork, cultural centersOnline, schools, educational organizations
Employer & Industry UsageIndigenous communities, cultural preservation groupsEducational institutions, government agencies

Remote Indigenous Knowledge Systems focus on preserving and applying Indigenous cultural knowledge, often involving community engagement and cultural practices. In contrast, Remote Indigenous Education Coordinators primarily organize and facilitate educational programs for Indigenous communities, combining cultural understanding with formal education methods. Both roles require cultural awareness but differ in their focus on knowledge preservation versus educational program management.

What are the key skills and qualifications needed to thrive in a remote Indigenous Knowledge Systems role, and why are they important?

To thrive in a Remote Indigenous Knowledge Systems role, you need a deep understanding of Indigenous cultures, traditions, and epistemologies, often supported by relevant academic qualifications or lived experience within Indigenous communities. Familiarity with digital collaboration tools, knowledge management platforms, and sometimes geographic information systems (GIS) is valuable. Strong intercultural communication, respect, and active listening skills set individuals apart in this field. These skills are vital for building trust, accurately representing Indigenous perspectives, and effectively sharing and preserving valuable traditional knowledge in remote contexts.

What is a remote Indigenous Knowledge Systems?

Remote Indigenous Knowledge Systems refer to the traditional knowledge, practices, and beliefs developed by Indigenous communities living in remote or rural areas. These systems encompass expertise in fields such as environmental management, health, agriculture, and cultural practices, and are passed down through generations. They are deeply connected to the local environment and community values, often differing significantly from mainstream scientific knowledge. Preserving and integrating Indigenous Knowledge Systems can contribute to sustainable development and cultural preservation. Increasingly, efforts are made to document and respect these systems in collaboration with Indigenous peoples.

What are popular job titles related to Remote Indigenous Knowledge Systems jobs in Austin, TX?

For Remote Indigenous Knowledge Systems jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Indigenous Knowledge Systems jobs in Austin, TX look for?

The top searched job categories for Remote Indigenous Knowledge Systems jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Indigenous Knowledge Systems jobs?

Cities near Austin, TX with the most Remote Indigenous Knowledge Systems job openings:

Remote Indigenous Knowledge Systems jobs near you
Infographic showing various Remote Indigenous Knowledge Systems job openings in Austin, TX as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 11% Hybrid, and 2% Remote job distribution, with an average salary of $101,331 per year, or $48.7 per hour.

Senior AI Architect

Kake Group

Austin, TX • Remote

$132K - $180K/yr

Contractor

Re-posted 8 days ago

Job description

We're looking for a Senior AI Architect to lead the design and development of production-grade AI applications that solve complex real-world challenges at scale.

In this role, you'll combine AI architecture, software engineering, and cloud technologies to build intelligent systems from concept to deployment. You'll work across the full technology stack, designing scalable AI solutions, retrieval systems, agent workflows, and modern application architectures that power next-generation products.

This opportunity is ideal for someone who thrives at the intersection of AI innovation and software engineering, enjoys solving complex technical problems, and has a proven track record of bringing AI-powered systems into production.

Key Responsibilities

  • Design and architect production-grade AI applications and platforms.
  • Build and evolve scalable retrieval and knowledge systems that support AI-powered experiences.
  • Design and implement agent-based and multi-agent architectures to solve complex workflows and automation challenges.
  • Develop backend services, APIs, data pipelines, and cloud-native infrastructure supporting AI systems.
  • Architect end-to-end solutions that balance performance, scalability, reliability, and security.
  • Drive technical decisions related to AI application design, orchestration, deployment, and system integration.
  • Collaborate with engineering teams to deliver high-quality solutions across multiple layers of the technology stack.
  • Integrate AI solutions with internal and external platforms, services, and data sources.
  • Contribute to engineering standards, architecture reviews, and technical best practices.
  • Mentor engineers and promote a culture of technical excellence.

Core Requirements

  • Proven experience designing, building, and deploying AI-powered applications in production environments.
  • Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based systems.
  • Experience designing and implementing agent-based or multi-agent systems for real-world production use cases.
  • Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns.
  • Experience developing and optimizing AI workflows, including retrieval, ranking, context management, and response generation.
  • Strong software architecture and distributed systems design experience.
  • Advanced proficiency in Python and modern software development practices.
  • Experience building backend services, APIs, and scalable cloud-native applications.
  • Experience with modern frontend technologies such as React, Next.js, or similar frameworks.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience with Docker, Kubernetes, and modern deployment practices.
  • Understanding of security, authentication, and enterprise integration patterns.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Experience working with large-scale language models and advanced AI architectures.
  • Familiarity with vector databases, hybrid search, reranking, and retrieval optimization techniques.
  • Experience with AI observability, evaluation frameworks, and performance monitoring.
  • Experience leading technical initiatives or mentoring engineering teams.
  • Exposure to streaming, real-time systems, or high-scale distributed platforms.

Additional

US Timezone Overlap: 6h–7h daily CST

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

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.