Solutions Architect

Found in: Jooble US O C2 - 2 weeks ago

Pittsburgh PA, United States Lovelace AI Full time

Lovelace AI was born from the desire to apply state of the art AI and systems engineering to the question of human safety, especially in dangerous conditions such as conflict, disaster response, anti-terrorism and deterrence against AIs designed by adversaries to harm civilians.
As a Solutions Architect at Lovelace AI, you will serve as a technical expert and trusted advisor to our sales and product team and clients in the Government and Commercial sectors. You will collaborate closely with our sales and product development teams to understand client needs, craft technical solutions, and ensure successful deployments of our AI products and services.

Solution Deployment in Complex Environments: You’ve been involved in deploying technology solutions within large scale infrastructures, and understand the challenges and constraints of these environments.
Rapid Implementation and Scalability Focused Mindset: You have a track record of implementing solutions quickly and effectively in large organizations, prioritizing rapid deployment and scalability. This can include designing solutions that meet specific security standards (like NIST or FedRAMP) or ensuring compliance with data privacy regulations.
Agility in Fast-Paced Environments: You get excited about the idea of working in a rapidly evolving tech startup, where you have to quickly adapt to challenges or pivot projects based on the development of our product and customer base.
Leverage your deep technical knowledge of our AI solutions to effectively communicate and demonstrate their value to potential clients in both the Government and Commercial sectors.
Product Demonstrations: Conduct compelling product demonstrations and presentations to showcase the capabilities and benefits of our AI technology, focusing on how it can address the unique challenges faced by the Department of Defense and Emergency Response organizations.
Answer technical questions and provide insights on implementation strategies.
Create and maintain technical documentation, including solution architecture diagrams, implementation guides, and best practices, to support sales and client onboarding.
Training: Deliver training sessions to clients and internal teams on the use and maintenance of our AI solutions.
Bachelor's degree in a relevant field (e.g., Computer Science, Engineering).
In-depth knowledge of AI technologies, including machine learning, computer vision, and natural language processing.
Demonstrated experience supporting and troubleshooting applications built on cloud platforms such AWS, Azure, or GCP. This includes familiarity with containerization technologies (Docker, Kubernetes), serverless functions, and cloud-based databases and have experience advising customers on optimal cloud architecture and migration strategies.
Proficiency in creating technical documentation and delivering training sessions.
We provide a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities.
Andrew Moore, who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades.
Brendan Dunne, a career Special Operations veteran and retired Army officer who has led high performing cross functional teams the past 20 years in the country’s premier national mission force. He was most recently in charge of US Special Operations Command’s Global Analytics Platform (aka the GAP), one of DoD’s leading technology platforms.
Toby Smith, well known in the Pittsburgh Tech community for his engineering leadership and design skills, and who has led many of the most ambitious and complex system infrastructure projects in Google Pittsburgh and NetApp.
I’m determined to make sure that the people building Lovelace AI gain a lot from the experience, including the chance to solve fascinating problems in computer science, AI, business development, customer success and product management. But my main hope is that we have a shared sense of accomplishment as we see an increasing number of national security and public safety domains made safer through sensible and robust use of advanced computer science."

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