Staff Software Engineer - Applied AI

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Summary CVS Health is looking for a Staff Software Engineer - Applied AI, who isn’t afraid to use all their knowledge and communication skills to tackle complex problems.  Our ideal candidate is detail-oriented and able to collaborate on the improvement of our software and systems. You will be involved in the structural design process, estimating costs, and performing quality control throughout the stages of implementation.  A first-class Staff Engineer will be someone whose engineering expertise translates into streamlined and cost-effective processes. To ensure success as a Staff Software Engineer - Applied AI with a focus on applied AI solutions, you should demonstrate specialized engineering knowledge and experience while designing, providing guidance, and implementing solutions to complex problems.  You will work with business, information, and technology teams to recommend and implement technology solutions needed to enable leading-edge capabilities and develop comprehensive patterns that outline how those capabilities get realized in response to evolving business needs.

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. Collaboration: Collaborate with cross-functional teams, including product managers, architects, and software developers, to define technical requirements and create robust and scalable architectures that meet business objectives. Mentorship: 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.

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