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Ai Rag Jobs in Dallas, TX (NOW HIRING)

Lead Assistant Manager

Dallas, TX · On-site

$40K - $51K/yr

Knowledge of agentic AI, RAG pipelines, and LLM technologies is highly advantageous. * Limited Java/Spring Boot experience is a plus, demonstrating a well-rounded skill set. * Excellent problem ...

Senior Cloud Engineer AI

Dallas, TX · On-site

$81K - $151K/yr

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

Develop and deploy LLM‑powered applications using RAG, fine‑tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls ...

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong communicator - able to translate ...

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong communicator -- able to translate ...

New

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

Showing results 21-40

Ai Rag information

See Dallas, TX salary details

$31.7K

$57.6K

$82.6K

How much do ai rag jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai rag in Dallas, TX is $57,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $64,300.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Dallas, TX?

For Ai Rag jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Dallas, TX look for?

The top searched job categories for Ai Rag jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Rag jobs?

Cities near Dallas, TX with the most Ai Rag job openings:

Infographic showing various Ai Rag job openings in Dallas, TX as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $57,618 per year, or $27.7 per hour.

Principal Engineer - Contact Center AI Transformation & Cloud Optimization

U.S. Bank

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 361 frontline employees who took The Breakroom Quiz

50th of 171 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.
Job Description
At U.S. Bank, we're modernizing client engagement through artificial intelligence, cloud-native platforms, and contact center transformation. We are seeking a Principal Software Engineer to serve as a senior individual contributor and strategic technology leader for AI-powered client engagement capabilities across the enterprise.
This role will shape the future of Contact Center platforms, helping lead modernization initiatives spanning Amazon Connect, Conversational AI, Agentic AI, cloud-native client servicing platforms, and omnichannel client engagement experiences. Experience with omnichannel client journeys, CRM capabilities, and digital technologies is highly valued.
Key Responsibilities
  • Define and drive the technology vision, architecture strategy, and modernization roadmap for AI-powered contact center and client engagement capabilities.
  • Lead architecture strategy for Amazon Connect, Conversational AI, Agent Assist, intelligent routing, self-service automation, Agentic AI, and related client servicing technologies.
  • Establish reference architectures, reusable frameworks, engineering standards, and governance models that accelerate secure, scalable adoption of AI-driven solutions.
  • Partner across engineering, product, operations, risk, compliance, data, and business teams to identify high-value transformation opportunities and deliver enterprise outcomes.
  • Influence cloud, data, platform, FinOps, and AIOps strategies that support resilient, scalable, and cost-effective client servicing platforms.
  • Develop executive-ready roadmaps, investment recommendations, business cases, and architecture materials that translate complex technology into clear business outcomes.
  • Mentor engineers, architects, and technical leaders while promoting innovation, engineering excellence, modernization, and responsible AI practices.

Basic Qualifications
  • Bachelor's degree or equivalent work experience
  • 8+ years of software engineering, architecture, or technology leadership experience
  • 5+ years of experience designing and implementing large-scale cloud-native platforms
  • Demonstrated success influencing enterprise technology strategy through technical leadership and executive engagement

Preferred Skills & Experience
  • Deep experience designing, implementing, and modernizing enterprise contact center platforms, including Amazon Connect, omnichannel engagement, voice, chat, messaging, workforce optimization, agent assist, and self-service capabilities.
  • Experience aligning contact center modernization with digital client journeys, digital servicing capabilities, and seamless end-to-end client experiences without directly owning Digital product development.
  • Experience with LLMs, Agentic AI, Conversational AI, RAG, Prompt Engineering, AI orchestration, Generative AI, AI-powered client service, intelligent workflow automation, and responsible AI governance.
  • Strong AWS and cloud-native architecture experience, including Amazon Connect, Bedrock, Lex, Contact Lens, Amazon Q, Lambda, API Gateway, DynamoDB, Kinesis, microservices, API-first architectures, and enterprise integration patterns.
  • Experience with enterprise data platforms and analytics ecosystems such as Databricks, Snowflake, Apache Spark, Lakehouse architectures, data governance, data pipelines, and AI enablement strategies.
  • Proven ability to influence executive stakeholders, architecture review boards, business leaders, strategic partners, and cross-functional teams through clear communication, storytelling, roadmaps, investment proposals, and technical thought leadership.
  • Experience working in financial services or other highly regulated environments with exposure to MLOps, security, privacy, regulatory compliance, and enterprise risk management.

Location Expectation
This role requires working from a U.S. Bank location three (3) or more days per week.
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $149,515.00 - $175,900.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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