GenAI Architect

About the Role

We are seeking a skilled GenAI Architect to lead the design, implementation, and co-development of cutting-edge generative AI solutions. The ideal candidate will be both a practitioner and an architect, capable of evaluating and guiding multiple AI solutions while working closely with client teams.

Key Responsibilities

· Design and develop scalable, enterprise-grade AI solutions using LLMs and other ML models, with a focus on healthcare challenges

· Ensure AI systems prioritize privacy, security, fairness, and adhere to responsible AI practices

· Architect and implement AI outputs in various formats (JSON, arrays, HTML) for seamless integration into dashboards

· Build extensible API integrations and low-code UI/UX solutions with short development cycles

· Develop and optimize AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

· Work with frameworks (TensorFlow, PyTorch) and open-source platforms like Hugging Face

· Collaborate with Product Development as a Generative AI subject matter expert

· Create clear documentation and communicate complex AI concepts to diverse stakeholders

· Establish best practices and standards for generative AI development within the organization

Required Qualifications

· Bachelors in Computer Science, AI, or related field

· 5+ years of full-stack engineering expertise with languages like C#, Python, and proficiency in designing architecture

· Experience in implementing enterprise AI systems in production settings, including computer vision and NLP

· Strong understanding of natural language generation, Gen AI, transformers, LLMs, and text embeddings

· 3+ years of experience in a technical leadership role, leading project teams and setting technical direction

· Expertise in machine learning libraries and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, Llama Index)

· Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies

· Strong problem-solving skills and ability to think critically and creatively

Preferred Qualifications

· Experience with self-supervised learning, transfer learning, and reinforcement learning

· Familiarity with vector databases like Pinecone

· Knowledge of AI ethics and responsible AI practices

Empowering the Future of Healthcare

The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.

ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.

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