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Ai Rag Jobs in Delaware (NOW HIRING)

Director, AI Product Development

Wilmington, DE · On-site

$226K - $236K/yr

Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar) * Fluency in Python and ML/AI tooling; experience with cloud platforms ...

Senior Legal Counsel

Dover, DE

$139K - $189K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Senior Legal Counsel

Dover, DE

$139K - $189K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Senior Legal Counsel

Wilmington, DE

$135K - $183K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Senior Legal Counsel

Wilmington, DE · On-site

$135K - $183K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Senior Legal Counsel

Wilmington, DE

$135K - $183K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

Senior Legal Counsel

Dover, DE

$139K - $189K/yr

... RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements.

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Showing results 1-20

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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 AI RAGs?

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 some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 job categories do people searching Ai Rag jobs in Delaware look for? The top searched job categories for Ai Rag jobs in Delaware are:
What cities in Delaware are hiring for Ai Rag jobs? Cities in Delaware with the most Ai Rag job openings:
Director, AI Product Development

Director, AI Product Development

AstraZeneca

Wilmington, DE • On-site

$226K - $236K/yr

Full-time

Posted 28 days ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical


Job description

Make a greater impact on lives through a digitally enabled enterprise.

We are working towards our aspirationof craftingthe future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introducenew approachesthat put Digital at AstraZeneca's heart.

Be part of a chapterthat'sstill being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.

This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale.

The Role:

The Director, AI Product Developmentispart oftheAI for Commercial (AIC) team within the newly founded Enterprise AI organization. You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serveGlobal and US functions includingcommercial, medical,market access, and patient programs. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact.

Key Responsibilities

  • Own the full AI product lifecycle: from problem definition andcustomerresearch throughAIdevelopment, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports.

  • Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.

  • Translate business questions into product requirements. Partner with Marketing, Medical Affairs,GIBEX, Field Operations, and IT to align product capabilities with brandobjectives, field workflows, and launch timelines.

  • Partner with technicaldeliveryleads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI,maintainalignment on priorities, and drive accountability across a cross-functional delivery model.

  • Drive adoption andimpactmeasurement. Define success criteria beforelaunch; track usage, output quality, and downstream business impact post-launch. Communicate results to leadership with clarity.

  • Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes. Ensure all products are deployed responsibly and withappropriate documentation.

  • Stay current with GenAI, agentic AI, and pharma AI trends.Identifyemerging capabilities with strategic fit, pilot solutions with speed and rigor, and champion a platform-centric approach that enables reuse, scalability, and accelerated deployment across functions and markets.

MinimumRequirements

  • Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred

  • 7+ years of experience building and shipping data science or AI products in a commercial setting; 3+ years of experiencein building Gen AI tools and platforms.

  • Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement

  • Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar)

  • Fluency in Python and ML/AI tooling; experience with cloud platforms (AWS, Azure, or GCP)

  • Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers

  • 3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows

Desirable Requirements

  • Experience building GenAI products under enterprise governance requirements

  • Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics

  • Demonstrated ability to drive user adoption: training, change management, and usage analytics

  • Experience managing external suppliers and consultants against defined deliverables and timelines

  • Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization

When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Are you ready to bring new insights and fresh thinking to the table?Fantastic! We have one seat available, and we hope it's yours. Apply today.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Date Posted

15-Jun-2026

Closing Date

18-Jun-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.


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