AI Architect

12 Month Contract to Hire: W2

Fully Remote

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.

Job Description

We are looking for a AI Architect 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 AI Architect, 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.

Compensation:

$85/hr to $100/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.