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Applied Ai Engineer Jobs in Delaware (NOW HIRING)

Berkley

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

... applied AI/LLM engineering delivering agentic AI production systems. * Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI). * Experience with Cloud AI ...

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Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects ... Work with product managers, data scientists, ML engineers, and other stakeholders to understand ...

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Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.
What are popular job titles related to Applied Ai Engineer jobs in Delaware? For Applied Ai Engineer jobs in Delaware, the most frequently searched job titles are:
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What cities in Delaware are hiring for Applied Ai Engineer jobs? Cities in Delaware with the most Applied Ai Engineer job openings:
    Applied Ai Engineer jobs near you
    Infographic showing various Applied Ai Engineer job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

    Sr. AI Engineer

    Berkley

    Wilmington, DE

    $118K - $156K/yr

    Full-time

    Posted yesterday

    New

    Job description

    Company URL: https://www.berkleytechnologyservices.com/ 

    Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC’s 60+ operating units across the globe. BTS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.  

    Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.  

    With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.  

    Berkley Technology Services: Right Team, Right Technology, Simple and Secure.  


    The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services. Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and instrumenting systems for reliability, security, and cost.

    • Build Python services and microservices (APIs, workers) that expose AI capabilities; write clean, tested, maintainable code.
    • Implement end-to-end RAG pipelines: connectors, parsing, chunking, embeddings, indexing, and retrieval using Azure AI Search and/or Pinecone.
    • Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations
    • Integrate AI into web applications (REST/GraphQL, events) with attention to input/output validation, rate limiting, and graceful degradation.
    • Own CI/CD and containerization for your services; add telemetry (logs/metrics/traces), dashboards, and alerts; participate in on-call/incident response
    • Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red-teaming, PII handling) in code.
    • Collaborate with analysts, QA, and product owners to refine requirements; demo increments and incorporate feedback in an agile cadence

    • 5+ years of professional software engineering experience.
    • 3+ years of hands-on applied AI/LLM engineering delivering agentic AI production systems.
    • Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI).
    • Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock.
    • Hands-on experience with vector databases and search algorithms.
    • Solid experience with containers and CI/CD; practical AI observability (logs/metrics/traces) and production support mindset.
    • Developed multi-agent systems using MCP and A2A technologies.
    • Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot.
    • Clear, concise communicator able to collaborate with analysts, QA, architects, and business stakeholders.
    • Experience with AI Observability in platforms like Datadog and Langsmith.
    • Bachelor’s degree with emphasis in related field or equivalent experience.

    Qualifications that are not required but are a plus

    • Familiarity with knowledge graphs (e.g., Neo4j) and graph queries (e.g., Cypher)
    • Experience leveraging and training NLP models
    • Experience fine-tuning LLMs and VLMs
    • Experience with LLM evaluation frameworks like DeepEval and RAGAs

    We do not accept unsolicited resumes from third party recruiting agencies or firms.

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