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Generative Ai Strategist Jobs in Delaware (NOW HIRING)

Bancorp Bank

$150 - $200/hr

The Director AI Strategy & Intelligent Automation role is responsible for establishing and leading ... Strong understanding of AI/ML, generative AI, NLP, intelligent automation, workflow orchestration ...

Barclays

VP - AI Risk Governance

Wilmington, DE · On-site

$180 - $240/hr

... strategies * Support governance of AIML Risks including attendance at forums and working group * End‑to‑end support for Generative AI proof‑of‑concepts, from initial use case intake and ...

Barclays

VP - AI Risk Governance

Wilmington, DE · On-site

... strategies * Support governance of AIML Risks including attendance at forums and working group * End-to-end support for Generative AI proof-of-concepts, from initial use case intake and review to ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop roadmap and strategy for NLP, LLM, Gen AI model development and lifecycle implementation ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

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Generative Ai Strategist information

What is a generative AI strategist?

A Generative AI Strategist is a professional who develops and implements strategies for leveraging generative artificial intelligence technologies, such as large language models and image generators, within an organization. Their role involves identifying opportunities for AI-driven innovation, assessing risks, guiding adoption, and ensuring responsible use of AI tools. They collaborate with technical teams, business leaders, and stakeholders to align AI initiatives with organizational goals and industry best practices.

How do I become a Generative Ai Strategist?

To become a Generative AI Strategist, develop expertise in artificial intelligence, machine learning, and natural language processing through relevant degrees or certifications. Gain experience with AI tools and platforms such as TensorFlow or PyTorch, and stay updated on emerging generative models like GPT or DALL·E. Strong analytical, strategic thinking, and communication skills are also essential for this role.

How does a generative AI strategist typically collaborate with cross-functional teams to drive AI initiatives?

Generative AI Strategists often work closely with data scientists, engineers, product managers, and business stakeholders to identify opportunities where AI can add value. They facilitate communication between technical and non-technical teams, ensuring that AI solutions align with business goals. These strategists are also responsible for translating complex AI concepts into actionable project plans, guiding implementation, and providing strategic oversight throughout the development lifecycle. This collaborative approach helps ensure successful adoption and integration of generative AI technologies within the organization.

What are the key skills and qualifications needed to thrive as a generative AI strategist, and why are they important?

To thrive as a Generative AI Strategist, you need a strong background in artificial intelligence, data science, and business strategy, often supported by relevant degrees or certifications. Familiarity with AI frameworks (like TensorFlow or PyTorch), prompt engineering, cloud platforms, and tools for model evaluation is typically required. Exceptional communication, creative problem-solving, and cross-functional collaboration skills help translate complex AI concepts into actionable business strategies. These abilities are crucial for leveraging generative AI to drive innovation and achieve organizational goals effectively.

What is the difference between Generative Ai Strategist vs Data Scientist?

AspectGenerative Ai StrategistData Scientist
Required CredentialsAI certifications, machine learning knowledge, domain expertiseStatistics, programming, data analysis skills, often a degree in CS or related fields
Work EnvironmentTech companies, AI startups, R&D teams focusing on AI applicationsVarious industries including finance, healthcare, tech; data analysis and modeling roles
Employer & Industry UsagePrimarily in AI-driven companies developing generative modelsAcross industries for data analysis, predictive modeling, and insights

While both roles require strong technical skills and familiarity with machine learning, a Generative Ai Strategist focuses on developing and implementing generative AI solutions, whereas a Data Scientist analyzes data to extract insights and build predictive models. The strategist role is more specialized in generative models, often involving strategic planning and AI deployment.

What are popular job titles related to Generative Ai Strategist jobs in Delaware? For Generative Ai Strategist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Generative Ai Strategist jobs in Delaware look for? The top searched job categories for Generative Ai Strategist jobs in Delaware are:
What cities in Delaware are hiring for Generative Ai Strategist jobs? Cities in Delaware with the most Generative Ai Strategist job openings:
Generative Ai Strategist jobs near you
Infographic showing various Generative Ai Strategist job openings in Delaware as of June 2026, with employment types broken down into 1% As Needed, 19% Full Time, and 80% Part Time. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Middletown, DE • On-site

Other

Re-posted 22 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply