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M
modis
Senior Artificial Intelligence Associate
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$118,850 / year median in Michigan
Job Description
Akkodis is seeking a Senior Artificial Intelligence Associate for a Contract with a client in Dearborn, MI (Hybrid). The ideal candidate with proven experience designing and deploying production-grade multi-agent AI systems, including RAG pipelines, LLM applications, and cloud-based architectures.
Sharma@ akkodisgroup.com.
Rate Range:
$60/hour to $70/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Senior Artificial Intelligence Associate Job Responsibilities include: Design, develop, and deploy production-grade multi-agent AI systems leveraging LLMs, RAG architecture, and agent orchestration frameworks such as LangGraph, CrewAI, or LlamaIndex. Build and optimize AI-driven applications that analyze complex datasets, generate actionable insights, automate workflows, and support self-service capabilities. Develop and maintain scalable RAG pipelines, including embeddings, vector databases, retrieval strategies, reranking, and grounding against approved enterprise knowledge sources. Architect and manage cloud-native AI solutions on Google Cloud Platform (GCP), utilizing services such as BigQuery, Vertex AI, Cloud Run, and GKE with CI/CD and containerized deployments. Implement evaluation, monitoring, observability, and guardrail frameworks to ensure AI system quality, safety, reliability, cost efficiency, and compliance with security best practices. Collaborate with cross-functional teams to productionize AI/ML prototypes, integrate AI services with enterprise platforms, and establish testing, versioning, and safe deployment processes for evolving agent solutions.Required Qualifications:
Bachelor's or master's degree in computer science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field (or equivalent practical experience). 3+ years of experience building production software systems, including 1-2+ years of hands-on experience developing and deploying ML/AI, LLM, or agent-based applications. Proven experience designing, deploying, and managing production-grade multi-agent architectures, RAG pipelines, and LLM-powered solutions using frameworks such as LangGraph, CrewAI, LlamaIndex, or similar technologies. Strong expertise in Python, Google Cloud Platform (GCP), BigQuery, Vertex AI, containerization (Docker/Kubernetes), CI/CD pipelines, and implementing secure, scalable, and observable AI systems with guardrails and evaluation frameworks. If you are interested in this role, then please clickAPPLY NOW.
For other opportunities available at Akkodis, or any questions, feel free to contact me at Gagan.Sharma@ akkodisgroup.com.