AI Solution Architect

Job Responsibilities:

• Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements.
• Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar/Digital Person AI, ensuring optimal compatibility, performance, and customization.
• Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization.
• Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards.
• Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions.
• Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence.
• Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards.

Qualifications:

• Experience with NVIDIA NeMo, OpenAI, and NLP technologies.
• Proficient in TensorFlow, PyTorch, or equivalent frameworks.
• Expertise in containers, Kubernetes, serverless computing, and DevOps practices.
• Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups.
• Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn.
• Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures.
• Knowledge of tokenization, embeddings, and transformer-based models.
• Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences.
• BS/MS in Computer Science, Software Engineering, or equivalent.
• AI/ML Certifications: TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent.
• Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus.
• Experience in verticals like financial services, telecommunications, industrial manufacturing, or media & entertainment.
• Advanced understanding of data privacy laws, security best practices, and certifications like CISSP or CISM.
• TOGAF 9 Certified, TOGAF Business Architecture preferred.
• Proven experience in customer-facing roles delivering IaaS and PaaS solutions.
• Strong grasp of open-source software and hardware ecosystems, including integrations.