CVS Health is looking to solve complex problems in health care by leveraging AI technologies and building a world of health around every consumer.
Requirements
- 7+ years of experience in large scale software development
- 5+ years of solution design and/or architecture experience, including capturing requirements in a customer-facing capacity.
- 5+ years of experience in designing and developing solutions using NodeJS, highly scalable microservices, REST APIs
- 3+ years of experience in AWS technology stack and DevOps/CICD processes
- 3+ years collaborating with engineering teams on prototype development.
- Experience with AWS Bedrock and AI technologies.
- Expertise in Python programming for AI/ML development.
Responsibilities
- Lead the end-to-end design, development, testing, deployment, maintenance, and enhancement of highly scalable, reliable, and secure AI services and applications utilizing AWS Bedrock (including Foundation Models, Knowledge Bases, Agents), the Converse API, AWS SageMaker, AWS Lambda, Amazon S3, and other relevant AWS AI/ML and core services.
- Architect robust, efficient, and secure AI/ML computing infrastructures and application stacks capable of handling large-scale data processing and inference demands.
- Design and implement solutions leveraging the AWS Bedrock Converse API for unified interaction with foundation models, incorporating advanced features like tool calling and multimodal input processing (text, image, documents).
- Develop and implement Retrieval-Augmented Generation (RAG) patterns using AWS Bedrock Knowledge Bases, integrating proprietary data from sources like Amazon S3 and leveraging vector databases to enhance model relevance and accuracy.
- Build comprehensive solutions that effectively integrate Bedrock's managed services with custom components, such as AWS Lambda functions for implementing Bedrock Agent actions or custom data processing logic.
- Actively research, evaluate, and stay current with the latest advancements, trends, and research in AI/ML, particularly in generative AI, foundation models, large language models (LLMs), and evolving AWS capabilities.
- Champion and implement responsible AI practices, ensuring fairness, transparency, security, and ethical considerations are integrated throughout the development lifecycle, potentially leveraging tools like AWS Bedrock Guardrails.
Other
- Bachelor’s degree from accredited university or equivalent work experience
- Excellent collaboration and communication skills required to ideate solutions that are sufficient and feasible to both the business leads and the technical teams.
- Exceptional organizational, analytical, problem-solving, strategic thinking, and time management abilities.
- Ability to develop technical briefs and detailed solution designs.
- Mentor and guide junior engineers, helping them enhance their technical skills and grow professionally through knowledge-sharing activities, technical training, and fostering a culture of learning within the team
