AI​/ML Architect - Ann Arbor, MI; Onsite W2

We are seeking an experienced AI/ML Architect with a strong Data Engineering background to lead the design, development, and implementation of enterprise AI/ML solutions. The ideal candidate will possess deep expertise in ETL processes, Informatica, database technologies, data modeling, cloud platforms, and machine learning architecture. This role will be responsible for designing scalable data and AI ecosystems that support advanced analytics, predictive modeling, and generative AI initiatives.

AI/ML Architect

Ann Arbor, MI (Onsite)

Long Term Contract (W2)

• Design and implement end-to-end AI/ML architectures for enterprise-scale solutions.
• Develop AI/ML frameworks, model deployment strategies, and MLOps best practices.
• Collaborate with business stakeholders to identify AI use cases and translate requirements into technical solutions.
• Evaluate emerging AI technologies, Generative AI platforms, and machine learning frameworks.
• Lead architecture reviews and provide technical guidance to development teams.

• Design and optimize enterprise data pipelines for structured and unstructured data.
• Build scalable ETL/ELT processes using Informatica and cloud-native technologies.
• Architect data lakes, data warehouses, and modern data platforms.
• Establish data governance, data quality, metadata management, and security standards.
• Design conceptual, logical, and physical data models to support analytics and AI workloads.

• Design and implement AI/ML and data solutions on cloud platforms such as AWS, Azure, or GCP.
• Develop scalable cloud architectures supporting large-scale data processing and machine learning workloads.
• Optimize cloud infrastructure for performance, cost efficiency, and security.
• Integrate cloud-native services for data ingestion, transformation, storage, and model deployment.

• Mentor data engineers, ML engineers, and architects.
• Work closely with data scientists, business analysts, and product teams.
• Define architectural standards, best practices, and reusable frameworks.
• Lead proof‑of‑concepts (POCs) and technology evaluations.

• 8+ years of overall IT experience with 3+ years in AI/ML architecture.
• Experience designing and deploying machine learning solutions in production environments.
• Knowledge of supervised, unsupervised, deep learning, NLP, and Generative AI concepts.
• Experience with ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, or similar.
• Understanding of MLOps, model monitoring, and lifecycle management.

• Strong experience in ETL/ELT development and architecture.
• Hands‑on expertise with Informatica Power Center, Informatica Cloud (IICS), or related Informatica products.
• Extensive experience with data integration, data migration, and data warehousing solutions.
• Strong database expertise in Oracle, SQL Server, PostgreSQL, Snowflake, or similar platforms.
• Advanced SQL development and performance tuning skills.

• Expertise in conceptual, logical, and physical data modeling.
• Experience with dimensional modeling, star schema, snowflake schema, and data vault methodologies.
• Familiarity with data modeling tools such as Erwin, ER/Studio, or similar.

• Strong experience with AWS, Azure, or Google Cloud Platform.
• Experience with cloud data services such as:
  • AWS: S3, Redshift, Glue, Sage Maker
  • Azure:
    Data Factory, Synapse, Databricks, Azure ML
  • GCP:
    Big Query, Dataflow, Vertex AI
• Experience designing cloud‑native data and AI architectures.

• Experience with Generative AI, LLMs, RAG architectures, vector databases, and AI agents.
• Experience with Databricks, Snowflake, Delta Lake, or Lakehouse architectures.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Experience with CI/CD pipelines and Dev Ops practices.
• Familiarity with Python, Spark, Scala, or Java.

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.