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Generative AI Architect
Generative AI ArchitectOfinno • Reston, VA, US
Generative AI Architect

Generative AI Architect

Ofinno • Reston, VA, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Generative AI Architect

About Ofinno :

Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication and media standards. Our team’s innovative work has led to significant contributions to technologies such as 5G cellular, Wi-Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world’s leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.

Position Overview :

At Ofinno, we are committed to pushing the boundaries of innovation in 6G and beyond. Our 6G Innovation Lab is at the forefront of research and development, exploring transformative technologies that shape the future of wireless communication. We are seeking a Generative AI Architect to spearhead efforts in leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies to support our researchers and drive continual improvements in AI architecture.

As a Generative AI Architect, you will play a pivotal role in empowering the 6G Innovation Lab team by designing, implementing, and optimizing AI-driven solutions. Your focus will be on utilizing LLMs and RAG technologies to enable advanced research capabilities while iteratively improving system performance and adaptability.

Key Responsibilities :

As a Generative AI Architect, you will :

  • Develop and deploy scalable architectures leveraging LLMs and RAG technologies to support cutting-edge research in our 6G Innovation Lab.
  • Collaborate closely with researchers to align AI solutions with their projects and objectives, providing tailored tools and resources.
  • Continuously evaluate and refine the architecture to optimize performance, efficiency, and scalability.
  • Research and implement state-of-the-art methodologies in generative AI and other emerging technologies.
  • Prototype and test innovative AI models and solutions to address unique challenges in 6G research.
  • Monitor and analyze the performance of deployed systems, applying iterative improvements based on user feedback and performance data.

Qualifications :

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.
  • 2+ years of hands-on experience with LLMs and RAG technologies, including practical implementation and optimization.
  • Proven ability to design and iterate on AI architectures for research or applied settings.
  • A passion for exploring and applying emerging AI technologies to solve real-world challenges.
  • Strong collaboration and communication skills to work effectively with multidisciplinary teams.
  • What Else You Should Know :

    Our people are our business. We know you have to see it to believe it, but here are some of the perks you can count on :

  • 401(K) matching We help you plan and save for retirement with a 401(K) matching program that’s available on day one.
  • Free healthcare plans Ofinno covers full premiums for you are your family on select healthcare plans, including employer HSA contributions if applicable.
  • Free Food Our kitchen is always fully stocked, including lunch, protein bars, fruit, sodas, coffee, and tea.
  • Unlimited Paid Time Off Our lives are enriched by family time, vacations, and personal time. We offer unlimited paid time off and sick leave.
  • On-campus gym Unwind, reduce stress and feel great – even when you’re at work.
  • Other benefits, too long to list Please discuss with our great People Ops team about additional benefits offered.
  • What Now?

    What are you waiting for? We hope you will click on the link and forward your credentials to us today.  All your information will be kept confidential according to EEO guidelines.

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