Evernorth
Healthcare
CloudEngineeringAdvisor-HIH
Neural analysis suggests this role is
optimal for Senior candidates.
“Cloud Engineering Advisor - HIH at Evernorth. Skills: Cloud Engineering, AI Solutions, AWS, LLMs, GenAI, Distributed Systems, Machine Learning. designing, implementing, and deploying scalable and efficient AI solutions. managing cloud resources to optimize performance and cost”
Industry & Context.
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions
What They're Looking For.
Must Have
Degree in Computer Science, Artificial Intelligence, or a related field, 11 – 13 years of extensive experience on AWS Cloud, Full stack engineering expertise with languages like C#, Python, Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging, Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing, understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embeddings, Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc.), Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index, 5+ years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects, OpenShift and Kubernetes Expertise: In-depth knowledge of OpenShift and Kubernetes concepts, architecture, and best practices, Programming experience in C/C++, Java, Python, AWS Services knowledge: Leveraging one or more of Sagemaker, S3, Lambda, and EC2 to build solutions on the AWS cloud, knowledge of data structures, algorithms, and software engineering principles, Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions, communication skills, with the ability to effectively convey complex technical concepts to a diverse audience, Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment
Nice to Have
Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus, Web development and solution skills, Flask, Django (for Python) or Express (for Node. js), Basic knowledge of web frameworks for creating restful APIs to serve models as a service
What You'll Do.
and deploying scalable and efficient AI solutions
managing cloud resources to optimize performance and cost
Build enterprise grade AI solutions
Identify and resolve complex technical challenges encountered by AI developers
Architect and develop software or infrastructure for scalable
distributed systems and with machine learning technologies
Design and implement solutions leveraging OpenShift's features for container orchestration or using AWS services
Test latest LLMs using standard evaluation criteria
make the LLMs available for enterprise use
with the right security
logging and monitoring
Work with frameworks (Tensorflow
PyTorch) and open-source platforms to deliver the best solutions
Optimize existing generative AI models for improved performance
Develop and maintain AI pipelines
including data preprocessing
writing database queries
preparing JSON/XML samples
modifying XML/JSON schemas
authoring/publishing business rules
Hand-on experience with AWS services (API gateway
utilizing API clients such as Postman or SoapUI to run/analyze APIs
writing basic REST API specifications if needed
debug and analyze production issues
writing test scenarios
and testing if needed
How You'll Work.
Team & Collaboration
collaborate with cross-functional teams; communicate complex technical concepts to a diverse audience; work collaboratively in a fast-paced, dynamic environment
Communication Scope
Excellent communication skills, with the ability to effectively convey complex technical concepts to a diverse audience
Full Job Description
**Cloud Engineering Advisor** ** _Position Overview_** The Cloud Engineer Advisor will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness, using major cloud platforms such as AWS, Azure, and Google Cloud. This role requires proficiency in cloud computing principles, services, and architecture, as well as experience in designing and developing software or infrastructure for distributed systems and machine learning technologies. The candidate will collaborate with cross-functional teams to provide expertise in GenAI and ensure the smooth integration and utilization of Large Language Models (LLMs), Transformers, and other advanced AI technologies in enterprise environments. Excellent problem-solving skills, strong programming skills, and experience in the healthcare domain are essential for success in this position. **_Responsibilities_** * Comprehensive understanding of cloud computing principles, services (such as resource pooling, rapid elasticity, measured service) and architecture (microservice and serverless) from major cloud providers (e.g., AWS, OpenShift). * Efficiently managing cloud resources to optimize performance and cost. * Build enterprise grade AI solutions with focus on privacy, security, and fairness. * Identify and resolve complex technical challenges encountered by AI developers using AWS (preferred) to build solutions. * Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. * Design and implement solutions leveraging OpenShift's features for container orchestration or using AWS services, S3, Lambda, and EC2 to configure LLMs * Test latest LLMs using standard evaluation criteria and make the LLMs available for enterprise use, with the right security, authentication, logging and monitoring. * Work with frameworks (Tensorflow, PyTorch) and open-source platforms to deliver the best solutions *
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