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Remote Retrieval Augmented Generation Jobs in Arizona

Cognizant

Consulting Principal, AI Architect

Phoenix, AZ · Remote

$122K - $194K/yr

... retrieval-augmented generation (RAG), and advanced data and AI platform solutions within highly ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

Insight

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... RAG (Retrieval-Augmented Generation), and fine-tuning models within Vertex AI . Data Analytics ...

All JobsRetrieval Augmented Generation JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Arizona

Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are some common challenges faced by professionals working in Remote Retrieval Augmented Generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is Remote Retrieval Augmented Generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Arizona? The most popular types of Retrieval Augmented Generation jobs in Arizona are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Arizona? For Remote Retrieval Augmented Generation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Arizona look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Arizona are:
What cities in Arizona are hiring for Remote Retrieval Augmented Generation jobs? Cities in Arizona with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Software Developer

Software Developer

Husch Blackwell Llp

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Software Developer position. This position may be filled remotely in any city with a Husch Blackwell office, or in any of our office locations.

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance collaboration, automation, and knowledge access across the organization. This role focuses on implementing enterprise-grade AI applications and intelligent workflow systems using C#/.NET Core, Azure-native services, and emerging AI platforms such as Azure AI Foundry and Copilot Studio. Strong expertise in Azure App Services, Azure Functions (including Durable Functions), event-driven architecture, messaging systems, and cloud-based application development is essential.

This position collaborates with cross-functional technical and business teams to deliver scalable AI-enabled solutions, including Retrieval-Augmented Generation (RAG) knowledge systems, AI agents, secure APIs, and integrated cloud applications. The Artificial Intelligence Implementation Analyst supports the full lifecycle from requirements gathering and architecture through development, deployment, monitoring, and continuous improvement. Essential functions include:

  • Defines, analyzes, and evaluates organizational needs relating to AI-enabled solutions, automation, and collaboration technologies.
  • Partners with stakeholders to gather requirements and design scalable, secure, and maintainable AI applications.
  • Leads development of modern solutions using C# and .NET Core/.NET 8.
  • Develops and deploys cloud-native applications on Azure using:
    • Azure Web Apps / App Services
    • Azure Function Apps
    • Durable Functions for orchestrated AI workflows
  • Implements event-driven and distributed system patterns leveraging:
    • Azure Service Bus
    • Asynchronous messaging and integration frameworks
  • Builds AI-powered solutions using:
    • Azure AI Foundry
    • Azure OpenAI (chat models, embeddings, vector search)
    • Retrieval-Augmented Generation (RAG) architectures
    • AI agents and orchestration frameworks
    • Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and workflows
  • Designs and maintains secure APIs and backend services integrating with:
    • Azure SQL Database
    • Enterprise document repositories and business systems
    • Builds containerized workloads using Docker and supports modern deployment strategies
  • Implements observability, telemetry, and performance monitoring through:
    • Azure Application Insights
    • Logging, tracing, and alerting best practices
  • Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments.
  • Supports Azure governance and security requirements, including identity, compliance, and networking controls.
  • Provides quality assurance, documentation, and knowledge transfer for developed AI systems.
  • Responds to escalated production issues and provides technical leadership in root cause resolution.
  • Other duties as assigned by IT leadership.

POSITION REQUIREMENTS

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education and commensurate experience required.
  • 5+ years of relevant experience in enterprise application development, AI implementation, or cloud-based engineering, preferably in a professional services environment.
  • Ability to work independently in resolving complex production issues and making recommendations to remediate enterprise application problems.
  • Strong communication skills and ability to collaborate across technical and non-technical teams.
  • Legal industry experience a plus, but not required.
  • Demonstrated proficiency in:
    • C#, .NET Core/.NET 8, ASP.NET
    • Cloud-native backend development and API design
    • Azure App Services, Azure Web Apps, Azure Functions
    • Durable Functions and orchestrated workflows
    • Azure Service Bus and event-driven architecture
    • Azure SQL and relational database development
    • Docker and container-based deployments
    • Application monitoring with Azure Application Insights
    • Experience implementing AI-enabled systems using:
    • Azure AI Foundry
    • Azure OpenAI services
    • Embeddings, vector search, and RAG pipelines
    • AI agent frameworks and automation patterns
    • Copilot Studio or conversational AI platforms
    • Experience with source control and CI/CD tools such as Azure DevOps, GitHub Actions, Git
    • Understanding of Azure infrastructure concepts including:
    • VNets, Private Endpoints, DNS, firewalls, secure networking
    • Identity and access management (Entra ID)

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position.  If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Maryland: $113,000 - $171,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

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