Senior AI Solutions Architect

Job Title: Senior AI Solutions Architect

Location: US Remote

Mode of Hire: Fulltime

Salary: $180k

Key Responsibilities:

• Architect and Develop Advanced AI Solutions: Design, develop, and implement AI-driven solutions using cutting-edge tools such as VIA, RIVA, NEMO, and other leading frameworks.
• Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and developers to ensure seamless integration of AI technologies into our platforms and applications.
• Leverage Cutting-Edge Technologies: Stay updated on the latest advancements in AI, machine learning, and natural language processing, and integrate these technologies into our solutions.
• Hands-On Development: As a senior architect, you should be able to lead by the example and actively contribute to the technical development of AI models and systems.
• Deliver Exceptional Customer Outcomes: Possess strong communication and interpersonal skills to effectively articulate complex technical concepts to non-technical stakeholders.
• Manage Projects Effectively: Oversee the end-to-end delivery of AI projects, ensuring they are delivered on time and within scope.

• Stay Abreast of Industry Trends: Continuously research and stay updated on AI advancements, tools, and methodologies to maintain our position as a market leader.

Key Requirements:

• AI full stack: CA RAG pipelines, GraphRAG, RAGAS framework, NVIDIA foundational models, CUDA, LangChain, Hugging Face
• AI models: LLM, CV, VLM, ASR, GANs
• AI usage: synthetic generation of image/video, audio
• AI Frameworks & Tools: Strong knowledge of VIA, RIVA, NEMO, and more generally nVidia NIMS and Metropolis platform.

• MLOps & LLMOps pipelines, operational deployments and optimizations
• Rapid prototyping
• Technical Expertise: Proficiency in Python, Angular, Node.js, Java, TensorFlow, PyTorch and other relevant technologies.
• Experiences with fine-tuning (LoRA, QLoRA, PEFT, & others) and hyperparameter tuning
• Solution expertise throughout the AI model lifecycle and productization
• Hands-On Development Experience: Proven ability to develop AI models and systems from scratch.
• Customer-Facing Skills: Excellent communication, collaboration, and leadership skills to work effectively with internal teams and external clients.
• Familiar with federated learning and differential privacy
• Travel Requirements: Ability to travel domestically and internationally as needed.