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Senior Solutions Architect

2 months ago

Reston, Virginia, United States 80Twenty Full time

About 80Twenty:

80Twenty is a rapidly growing legal technologies company expanding its operations to the US Market.


Job Summary:

We are seeking a highly skilled Senior Solutions Architect with expertise in AI to lead the development of our AI-driven legal solutions.


Key Responsibilities:

  • Technical Leadership: As the sole technical team member, you will be responsible for all aspects of product development, from initial architecture design to coding and deployment.
  • Full Stack Development: Manage both the front-end and back-end of our AI-driven legal solutions, ensuring they are robust, scalable, and secure.
  • Strategic Planning: Develop the technical roadmap, aligning it with business goals, while identifying potential risks and opportunities.
  • Collaboration with Legal Teams: Work directly with legal professionals to understand their needs and translate them into technical solutions.
  • Infrastructure Management: Handle cloud infrastructure, including deployment, maintenance, and optimization to ensure smooth operation.
  • Security and Compliance: Ensure that all AI models and systems meet legal industry standards for security and compliance.
  • Innovation and Adaptation: Stay updated with the latest in AI technology, particularly in LLMs, and adapt these innovations to improve the product.


Requirements:

  • Strong experience as a full-stack developer with a focus on AI and machine learning, particularly with LLMs.
  • Demonstrated ability to single-handedly manage the entire development process, from design to deployment.
  • Experience with cloud platforms, cybersecurity, and the full software development lifecycle.
  • Strong problem-solving skills, with the ability to work independently in a startup environment.
  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).


Preferred Qualifications:

  • Prior experience in the legal tech industry or a strong interest in the intersection of law and AI.
  • Familiarity with AI governance and ethical AI frameworks.
  • Ability to communicate technical concepts to non-technical stakeholders.