Artificial Intelligence Engineer II

Blue Cross Blue Shield of Michigan•Detroit, MI

About The Position

The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement. Work closely with clients, business analysts and team members on small to large, complex projects to understand the business requirements that drive the analysis and design of quality technical solutions that align with business and IT strategies and are in compliance with the organization’s architectural standards. Provide support in the full systems life cycle for multiple applications to ensure application software is delivered on time and within budget.

Requirements

Bachelor's degree in related field preferred.
Three (3) years of advanced programming techniques and application design required.
Experience in systems design and have a solid understanding of development, database development, testing, and integration methodologies required.
Analytical and systems thinking.
Accuracy and attention to detail.
Written and verbal communication skills.
Ability to work independently, or within a team environment.
Other related skills and/or abilities may be required to perform this job.

Nice To Haves

Hands-on development experience with: Python, Python FastAPI Framework, Python Django AWS Bedrock AWS Bedrock Agent Core AWS SageMaker Catalog AWS SageMaker AI AWS SageMaker Model Monitor AWS SageMaker Studio Vector Databases (AWS Postgres, Redshift, OpenSearch) AWS DynamoDB AWS S3 / S3 Vector AWS Nova and Anthropic Claude Sonnet Certified AWS AI Practitioner – Foundational
Project management experience preferred.

Responsibilities

Design, develop, and implement end-to-end agentic AI systems that integrate: Large Language Models (LLMs) Multi-agent orchestration frameworks Enterprise-grade data pipelines Business and operational applications
Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.
Code applications using a disciplined development process.
Integrate solutions with other applications and platforms outside the framework.
Create data extracts and reports from system based on requirements.
Develop, execute, and document unit test plans.
Support and/or execute all testing efforts across the life cycle.
Assist in the deployment of new modules, upgrades and fixes to the production environment. Make modules production-ready by moving them to libraries, completing forms and version control documents, following procedures, etc.
Validate deployment.
Assist in production support.
Troubleshoot existing information systems to identify errors or deficiencies and develops solutions.
Provide ongoing maintenance of applications.
Evaluate existing applications and platforms and provides recommendations for improving application performance by conducting gap analysis, identifying feasible alternative solutions, and assisting in the scope of modifications.
Document functions and changes to new or modified modules and test activities/results.
Assist in the development of user guides and training documentation for systems.
Participate in project planning processes, as needed.
Identify better sources of data feeds and interfaces with architects to ensure their feasibility with corporate data warehouse, when needed. Identify technical requirements, as needed.
Create technical design specifications and assist in sizing technical requirements, as needed. Adhere to standards and procedures; check for compliance.
Review modules for quality assurance.
Evaluate new application packages and tools and perform research on best practices and provide recommendations for solutions, as needed.
Prepare and present formal training to IT staff, as needed.
Provide technical coaching and mentoring to less-experienced team members.
Other duties may be assigned.