AI Software Architect

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

Launch Consulting is seeking a Senior AI Software Architect to lead the design and deployment of advanced AI solutions, with a focus on generative AI, large language models, and real-time inference systems. This role is central to our AI strategy, developing forward-thinking architectures and leveraging cutting-edge tools to solve complex business problems across industries.

Responsibilities Include:

AI Systems Architecture & Design

• Architect scalable AI solutions using the latest frameworks such as LangChain, Ray, TensorFlow, PyTorch, and Hugging Face Transformers.
• Lead the design of distributed AI platforms with cloud-based infrastructure (e.g., AWS SageMaker, Azure Machine Learning, GCP AI Platform) to ensure scalability and performance.

AI Strategy & Innovation

• Shape and execute AI strategies across diverse projects, integrating modern AI tools and technologies into client solutions.
• Drive innovation by staying at the forefront of AI advancements, focusing on LLMs, vector embeddings, real-time inference, and generative AI models.

Collaboration & Integration

• Work closely with cross-functional teams of data engineers, data scientists, cloud architects, and business stakeholders to ensure AI architectures align with business goals.
• Lead AI model integration into various applications through seamless API development and cloud-based infrastructures, optimizing for performance and real-time use.

Generative AI & Model Deployment

• Lead the deployment of AI models, including LLMs and Generative AI, into large-scale, high-demand environments.
• Optimize model performance for real-time inference pipelines and ensure efficient AI operations with modern orchestration platforms such as Kubeflow, MLflow, and Airflow.

Leadership & Mentorship

• Provide technical leadership and mentorship within studio environment, fostering a culture of innovation and knowledge sharing.
• Lead AI-related discussions and decisions, ensuring technical rigor and alignment with cutting-edge AI development practices.

Qualifications Include:

• 10 years of experience in software development, system architecture, and cloud environments, with a strong track record in leading technical teams of at least 8 or more.
• 3 years of experience focusing on AI and machine learning, including hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch, Ray, Hugging Face).
• Prior IT digital consulting/services experience is required.
• Proficiency in programming languages such as Python, JavaScript, or C# with practical experience in AI model development and deployment.
• Extensive experience architecting and deploying solutions on cloud platforms like AWS, Azure, or GCP.
• Expertise in building containerized AI applications using Docker, Kubernetes, and orchestration tools like Kubeflow and Airflow.
• Proven ability to lead AI projects from concept to deployment, providing thought leadership on AI best practices and strategy.
• Exceptional communication skills to explain complex AI systems to technical and non-technical stakeholders alike.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $180,000-$215,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.