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Freelance Retrieval Augmented Generation Jobs in Indiana

Wolters Kluwer

Senior Legal Counsel

Indianapolis, IN

$133K - $181K/yr

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

Wolters Kluwer

Senior Legal Counsel

Indianapolis, IN

$133K - $181K/yr

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

Elevance Health

Engineer Lead Sr, FDE

Indianapolis, IN · Hybrid

$97K - $129K/yr

Define the technical approach for LLMs, retrieval-augmented generation (RAG), tool integration, orchestration, human-in-the-loop, and evaluation patterns. * Work directly with business, product, and ...

Wolters Kluwer

Senior Legal Counsel

Indianapolis, IN

$133K - $181K/yr

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

Wolters Kluwer

Senior Legal Counsel

Indianapolis, IN · Hybrid

$133K - $181K/yr

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

Wolters Kluwer

Senior Legal Counsel

Indianapolis, IN · Hybrid

$133K - $181K/yr

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

Elevance Health

Engineer Lead Sr, FDE

Indianapolis, IN · Hybrid

$98K - $129K/yr

Define the technical approach for LLMs, retrieval-augmented generation (RAG), tool integration, orchestration, human-in-the-loop, and evaluation patterns. * Work directly with business, product, and ...

Crowe LLP

Machine Learning Engineer

Indianapolis, IN · On-site

$62K - $100K/yr

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry. * Experience in fine ...

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Freelance Retrieval Augmented Generation information

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.

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For Freelance Retrieval Augmented Generation jobs in Indiana, the most frequently searched job titles are:

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Cities in Indiana with the most Freelance Retrieval Augmented Generation job openings:

Freelance Retrieval Augmented Generation jobs near you

Sr. Manager, Technical Architect - Enterprise AI Solutions

Canadian Solar

Jeffersonville, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 19 days ago

Key responsibilities

  • Define and lead enterprise AI architecture standards, frameworks, and best practices

  • Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics

  • Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives

Canadian Solar rating

5.8

Company rating: 5.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, e-Storage, Recurrent Energy, MSS and CSI Solar Co., we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

Canadian Solar Inc. is seeking a highly experienced and strategic AI leader to drive the design, architecture, and implementation of enterprise AI solutions across global business operations. This role leads the development of scalable AI platforms, enterprise copilots, automation frameworks, and advanced analytics capabilities supporting Sales, Manufacturing, Supply Chain, Engineering, Finance, Cybersecurity, and Corporate Functions.
The ideal candidate combines strong technical depth in AI/ML and enterprise architecture with hands-on experience delivering production-grade AI solutions within large-scale global organizations. This individual will serve as both a technical leader and strategic advisor, helping define the company's AI roadmap while partnering closely with business executives, IT leadership, and cross-functional teams.
This is a senior-level role based in North America with global responsibilities across Canadian Solar business units. Preference to have someone near an office hub.
  • Define and lead enterprise AI architecture standards, frameworks, and best practices
  • Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
  • Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption
  • Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals
  • Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives
  • Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions
  • Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications
  • Design scalable APIs, microservices, and AI orchestration frameworks
  • Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services
  • Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions
  • Build secure enterprise AI integrations with internal data platforms and business systems
  • Evaluate and optimize LLM performance, cost, governance, and scalability
  • Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures
  • Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance
  • Ensure reliability, scalability, security, and operational readiness of AI platforms
  • Support cloud-native AI deployments across Azure, AWS, and Google Cloud
  • Serve as technical lead and mentor for AI engineers, developers, and solution architects
  • Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions
  • Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies
  • Communicate technical concepts effectively to both technical and executive audiences
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline
  • Advanced degree preferred
  • 8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles
  • 3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions
  • Experience leading enterprise-scale AI transformation initiatives in global organizations
  • Strong experience with cloud-native architectures and enterprise integration platforms
  • Strong proficiency in Python and modern AI/ML frameworks
  • Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems
  • Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
  • Strong understanding of enterprise API integration, microservices, and distributed architectures
  • Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices
  • Familiarity with enterprise security and AI governance requirements
  • Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms
  • Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred
  • Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred

Compensation & Benefits:

Canadian Solar Inc. offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement. Our generous benefits package includes a 401(k) Retirement Plan, medical/dental/life/disability program, PTO and sick days.

Canadian Solar Inc. is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

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