AI Engineer

• Location:
  United States, Michigan, Southfield

• Location:
  United States, Illinois, Chicago

• Location:
  United States, Colorado, Denver Tech Center

Make your mark.
Plante Moran's technology services team has been awarded Insider Pro and Computerworld's "100 Best Places to Work in IT" for five consecutive years.
We are also previous recipients of the InformationWeek IT Excellence award and the CIO 100 award.
If you're seeking professional growth, like being innovative and challenged, and have a desire to work on impactful business technology solutions, we want to hear from you!

We are seeking an experienced and passionate Artificial Intelligence Engineer to join our growing team.
As an AI Engineer, you will play a pivotal role in developing and deploying advanced AI models, algorithms, and solutions to solve real-world business challenges.
You will work closely with a team of software engineers, solution architects, and data engineers to design, implement, and optimize AI-based systems that are scalable, efficient, and aligned with our strategic goals.
This role demands a deep understanding of AI technologies, machine learning lifecycle management, and hands-on experience with cloud platforms and AI frameworks.

The role.

Your work will include, but not be limited to:

• Develop and architect Generative AI models using the latest LLM's, machine learning (ML) frameworks and tools such as the Azure AI platform, PyTorch, and Scikit-Learn.
  
• Design, develop, and integrate AI models into existing software systems or develop new applications leveraging AI/ML capabilities.
  
• Play a key role in our Technology R&D function by working closely with our Innovation Lab and practice areas and cross-functional teams (engineers, project managers, business analysts) to assess business needs and identify opportunities for AI-driven solutions.
  
• Lead integration efforts, deploying AI models to cloud environments using containerization tools like Docker and Kubernetes.
  
• Drive MLOps practices, including continuous integration, deployment, and monitoring of AI models to ensure seamless delivery, scalability, and performance.
  
• Build and maintain end-to-end AI pipelines using DevOps tools such as Git and CI/CD processes.
  
• Automate AI model training and deployment workflows, focusing on scalability, performance, and reproducibility.
  
• Stay updated on the latest advancements in AI, machine learning, and deep learning, including Natural Language Processing (NLP), Computer Vision, and reinforcement learning.
  
• Apply cutting-edge techniques, such as Retrieval-Augmented Generation (RAG) and chain-of-thought models, to enhance AI model performance.
  
• Ensure AI systems are developed with ethical guidelines and responsible AI practices, including fairness, transparency, and privacy considerations.
  
• Continuously monitor AI system performance, recommending and implementing improvements as needed.
  

The qualifications.

• Bachelor's degree in Computer Science, AI, Data Science, or a related technical discipline (Master's preferred).
  
• 5+ years in Information Technology or related Engineering disciplines
• 5+ years of experience in programming languages such as Python, R, or Java.
  
• 3+ years of ML modeling experience using a variety of regression and supervised and unsupervised learning techniques.
  
• 3+ years of experience in data wrangling/cleansing, statistical modeling, and programming
• Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, OpenSearch, Pinecone etc.
  )
• Expertise in AI/ML frameworks, including PyTorch, and Scikit-Learn.
  
• Strong knowledge of Large Language Models (LLMs).
  
• Experience building and maintaining scalable AI/ML pipelines using cloud platforms (AWS, Azure, GCP).
  
• Experience with DevOps and MLOps practices, including continuous integration and deployment.
  
• Proven track record of developing, deploying, and optimizing machine learning models at scale.
  

Our difference.

On the surface, we're one of the nation's largest audit, tax, consulting, and wealth management firms.
But dig a little deeper, and you'll see what makes us different:
we're a relatively jerk-free firm (hey, nobody 's perfect) with a world-class culture, consistent recognition as one of Fortune Magazine's "100 Best Companies to Work For," and an endless array of opportunities.
At Plante Moran, diversity, equity and inclusion means that all staff members have equitable and fair opportunities to succeed, in an inclusive environment, with their individual, unique identities.
So,what are you waiting for? Apply now.

This is an exempt position, so you may have to work hours that exceed the standard 40-hour work week.

Plante Moran is committed to a diverse workplace.
We strive to create a culture where each person feels accepted and valued.
We believe that each person's ultimate potential begins with first acknowledging their inherent dignity.
When we can recognize - and celebrate - our many human differences, we're able to create a workplace where all staff feel a sense of belonging and an opportunity to succeed.
This allows us to attract and retain the best talent, serve clients through diverse thinking, and better represent and support the various communities in which we live and work.
Plante Moran is an Equal Opportunity Employer.

Plante Moran maintains a drug-free workplace.

Interestedapplicantsmust submit their resume for consideration using our applicant tracking system.
Due to the high volume of applications received, only candidates selected for interviews will be contacted.
Candidates must be legally authorized to work in the United States without sponsorship, with the exception of candidates that are bilingual in Japanese and English.
Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Plante Moran.

The specific statements above are not intended to be all-inclusive.

#LI-LS2

#LI-Hybrid

Salary Class