AI Engineer

AI Engineer
Position Summary
CVS Health is looking for a Staff AI Engineer who isnt 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 AI Engineer 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.
Key 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 Bedrocks 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
Required Qualifications
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.
Preferred Qualifications
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.
Experience with optimization skills to improve performance scalability and
usability of our applications.
Ability to develop technical briefs and detailed solution designs.
Extensive knowledge of engineering processes structural design and system
optimization.

Experience with agile development SAFe Agile experienced preferred.
Direct hands-on experience architecting and building production solutions
specifically using AWS Bedrock the Converse API Bedrock Agents and
Bedrock Knowledge Bases.
Relevant AWS Certifications are a bonus (e.g. AWS Certified Machine Learning -
Specialty AWS Certified Solutions Architect - Professional AWS Certified AI
Practitioner).
Education
Bachelors degree from accredited university or equivalent work experience

Required Skills : AI

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : No