Sr. Solution Architect
3 months ago
Architectural Design:
Design and develop scalable, high-performance architecture for Generative AI solutions. Ensure alignment of AI solutions with business goals and technical requirements.Solution Development:
Own the development and deployment of Generative AI solutions. Collaborate with Gen AI Center of Excellence team to integrate AI solutions into business applications.Technical Leadership:
Provide technical guidance and mentorship to engineering teams. Stay updated with the latest advancements in Gen AI technology and incorporate them into solutions.Business Engagement:
Work closely with Business Analyst to understand requirements and tailor Gen AI solutions accordingly. Present technical solutions to partners, ensuring clear communication of benefits and features.Qualifications:
Bachelor’s or Master’s degree in computer science, Engineering, or a related field. Extensive experience (3+ years) in AI/ML and Data Engineering (5+) with a focus on Generative AI technologies. Proficiency in programming languages such as Python, Java, or C++. Strong understanding of neural networks, deep learning, and natural language processing. Experience with AI/ML frameworks and libraries (, TensorFlow, PyTorch, Keras). Knowledge of data architectures for Gen AI including ingestion, storage, and processing Data pipeline development tools and methods Knowledge of large-scale data processing with frameworks like SPARK/KAFKA Proven record of designing and deploying large-scale AI solutions. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and interpersonal skills, with the ability to articulate sophisticated technical concepts to non-technical partners. Experience with cloud platforms (, AWS, Google Cloud, Azure). Familiarity with DevOps practices and tools.Preferred Skills:
Experience in developing Gen AI, AI/ML solutions for bio-technology companies.-
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