Gen AI Architect
Gen AI Architect
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Job Description
Job Title: Gen AI Architect
Location: Chicago IL Hybrid role
Job Type: Contract / FTE
Strong AI/ML architect with expertise & experience in GenAI. Have implemented multiple AI/ML systems Solutions in Life Science space.
Responsibilities:
Design and lead the implementation of AIdriven solutions aimed at optimizing operational processes and workflows.
Collaborate with crossfunctional teams to understand business requirements and translate them into technical specifications.
Utilize pretrained large language models (LLMs) and other Generative AI techniques to develop personalized responses tailored to operators needs.
Architect and oversee the development of knowledge bases and databases to store and retrieve relevant information efficiently.
Implement unsupervised techniques for data categorization and classification to enhance recommendation accuracy.
Explore and integrate stateoftheart AI technologies and methodologies to continuously improve system performance.
Ensure scalability reliability and security of AI solutions deployed in production environments.
Stay updated on emerging trends and advancements in AI machine learning and related fields to drive innovation within the organization.
Requirements:
Bachelors degree or higher in Computer Science Engineering or a related field. Advanced degree preferred.
Proven experience in designing and developing AIdriven solutions with a focus on Generative AI and Natural Language Processing (NLP).
Proficiency in programming languages such as Python with handson experience in machine learning frameworks (e.g. TensorFlow PyTorch).
Strong understanding of large language models (LLMs) and their applications in text generation and understanding.
Experience with cloud platforms (e.g. AWS Azure) and related services for deploying and managing AI solutions.
Solid understanding of software engineering principles including design patterns data structures and algorithms.
Excellent communication and collaboration skills with the ability to work effectively in crossfunctional teams.
Strong analytical and problemsolving abilities with a keen attention to detail.
Demonstrated ability to drive innovation and lead technical initiatives from concept to production.
Preferred Qualifications:
Experience with prompt engineering techniques for finetuning large language models.
Knowledge of advanced machine learning techniques such as reinforcement learning and transfer learning.
Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).
Experience working in Agile or other iterative development methodologies.
Publications or contributions to the AI and machine learning community (e.g. research papers opensource projects).
Employment Type
Full Time
