Artificial Intelligence Specialist

Dearborn, Michigan –
Artificial Intelligence Specialist #1054782

• Develop intelligent programs, cognitive applications and algorithms for data analysis and automation using AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming.

• Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities.
• Perform large-scale experimentation and develop data‑driven applications that translate data into actionable intelligence.
• Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming.
• Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation.

• Artificial Intelligence & Expert Systems
• Machine Learning
• Data Science
• Data Modeling
• Software Development Lifecycle

• Specialist Exp: 5+ years of experience in the relevant field.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production‑grade solutions in large enterprise environments.
• Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher).
• Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS Sage Maker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI‑specific SDLCs.
• Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns.
• Strong analytical, problem‑solving, and critical thinking skills.
• Exceptional communication, interpersonal skills, and stakeholder management skills.

• Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG‑based requirement synthesis).
• Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
• Knowledge Graph:
  Understanding of semantic ontologies and how they enable advanced analytics.
• COTS Integration:
  Experience integrating COTS AI solutions into an enterprise tech stack.
• Supply Chain Domain Knowledge:
  Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.

• Bachelor's Degree
• Master's Degree (preferred)

• Business Requirement Gathering:
  Partner with supply chain functional leads to elicit and document business requirements and translate them into technical specifications for AI‑driven decision support tools, ensuring every solution delivers measurable business value.
• Model Integration & Deployment:
  Act as the primary technical lead for applied AI implementation. Take pre‑developed models from internal partners or 3rd‑party vendors (COTS) and successfully deploy them within the supply chain GCP space.
• Graph‑Based AI Implementation:
  Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N‑tier supplier risk and material movement.
• AI‑Driven SDLC Execution:
  Champion and implement AI‑assisted development practices. Use LLM‑based tools (e.g., Git Hub Copilot, automated PR agents, and AI‑generated documentation) to accelerate delivery and ensure high code quality.
• Pipeline & MLOps Engineering:
  Design the "connective tissue" between Knowledge Graph updates and model inference engines. Maintain automated pipelines that…