Staff AI Engineer

Job Title: Staff AI Engineer Location: Remote Employment Type: Contract Duration: Long Term Contract Note: Looking for candidates from defence tech. 5-10 years of DOD/defence tech experience with a plethora of technology. About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients. Job Description: Position Summary CVS Health is looking for a Staff AI Engineer 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 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 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.