Sphere partners combine global expertise and local insight to help people and companies to turn their ambitious goals into reality. At Sphere we put people first an Generative AI Architect.

Location: Remotely
Type: Contract
Start Date: ASAP

Responsibilities include but are not limited to:
• Develop Generative AI solutions using Databricks, ML and GenAI technologies across various client teams;
• Contribute to the development and applications using Large Language Models (LLMs) and Generative AI;
• Exploring new areas within the fields of Large Language Models (LLMs) and Generative AI and translate research into practical applications;
• Communicate complex technical concepts and findings to non-technical stakeholders;
• Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems;
• Research and stay up to date on the latest advancements in generative AI technologies and methodologies;
• Optimize and fine-tune generative models for performance and efficiency;
• Troubleshoot and resolve issues related to generative AI models and implementations;
• Create and maintain documentation for generative AI models and their applications;
• Deployment and monitoring of Machine Learning models, with a strong focus on generative AI and LLM-based agents;
• Communicate complex technical concepts and findings to non-technical stakeholders;
• Design and Develop prototypes of the proposed systems in collaboration with appropriate IT practitioners and client Stake holders;
• Evaluate new and alternate Tools & technologies and choose the appropriate Tool/technology for efficiency and quality deliverables;
• Display a high degree of confidence and ability to work in ambiguous situations;
• Influence business decisions to drive resolutions to business needs, and concerns by providing recommendations and trade-offs;
• Zeal for Continuous research and learning to attain in-depth knowledge of Capabilities, Limitations, internal architecture, Working and Applications on a broad range of trending tech stacks and present essential comparisons, pros/cons, and target use cases;
• Assist leadership in building / upgrading reference Architectures, building new service Lines or adding to capabilities on existing service lines, or designing and Implementing programs to align delivery teams to new / enhanced service offerings;
• Ideate & Lead training programs to help Next Gen gain technical expertise.

Requirements:
• Minimum of 5 years of programming experience in Python and SQL;
• At least 3 years of experience in creating AI solutions using Databricks (Certification is a plus);
• Experience with generative AI frameworks, such as LlamaIndex and Langchain;
• Familiarity with generative AI models from OpenAI, Google, or open-source alternatives (e.g., Llama, Claude, Hugging Face);
• Proficiency in diverse data storage systems, including RDMS and NoSQL;
• Expertise in utilizing major cloud platforms (Azure, AWS, GCP) for developing cloud-based solutions;
• Understanding of neural network architectures, such as Generative Adversarial Networks (GANs) and Transformers;
• Experience using TensorFlow, PyTorch, and Keras for designing, training, and validating AI models;
• Familiarity with CI/CD solutions in the context of MLOps and LLMOps, including automation with IaC (Biceps/Terraform);
• Skills in data preprocessing and feature engineering for AI model training;
• Knowledge of designing and explaining data pipelines, ML pipelines, and ML training and serving methodologies;
• Experience in deploying ML models using native infrastructure (e.g., Azure DevOps, Databricks) or third-party MLOps platforms;
• Understanding of specific domains or industries and the application of NLP/LLM solutions;
• Demonstrated innovative mindset and problem-solving abilities;
• Awareness of AI standards and the ability to assess and mitigate technology risks;
• Excellent communication and presentation skills.

Sphere offers a competitive and rewarding salary and benefits package, as well as an intellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities.