Lead AI and Data Solutions Engineer II

Lead AI and Data Solutions Engineer II at Deloitte, focusing on designing, delivering, and overseeing the build of data and AI solutions, including data pipelines, APIs, cloud services, and AI-enabled products. The role involves defining architecture patterns, engineering standards, and delivery approaches, collaborating with stakeholders, and leading project teams. Requires experience in Python, SQL, cloud platforms, and building production AI solutions.

What you'd actually do

  1. Leading the design and delivery of data and AI solutions that align technology outcomes to business requirements
  2. Defining architecture patterns, engineering standards, and delivery approaches for data platforms, machine learning solutions, and application integrations
  3. Overseeing the build of data pipelines, APIs, cloud-based services, and AI-enabled products across the solution lifecycle
  4. Collaborating with business, product, engineering, and delivery stakeholders to translate requirements into implementation plans
  5. Leading project teams, reviewing technical deliverables, and managing execution across timelines, dependencies, and risks

Skills

Required

  • Python
  • Structured Query Language (SQL)
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • designing and delivering data platforms
  • analytics solutions
  • artificial intelligence solutions
  • building data pipelines
  • application programming interfaces (APIs)
  • machine learning solutions
  • generative artificial intelligence solutions

Nice to have

  • Databricks
  • Snowflake
  • Apache Spark
  • Kubernetes
  • large language models
  • retrieval-augmented generation
  • vector databases
  • machine learning operations (MLOps) tooling
  • continuous integration/continuous deployment (CI/CD)
  • infrastructure as code
  • containerized deployments
  • financial services
  • health care
  • consumer
  • government sectors
  • AWS certifications
  • Azure certifications
  • GCP certifications
  • Databricks certifications
  • Snowflake certifications

What the JD emphasized

  • 8+ years of experience designing and delivering data platforms, analytics solutions, or artificial intelligence solutions
  • 4+ years of experience building data pipelines, application programming interfaces (APIs), and machine learning or generative artificial intelligence solutions in production environments

Other signals

  • design and delivery of data and AI solutions
  • architecture patterns, engineering standards, and delivery approaches for data platforms, machine learning solutions
  • build of data pipelines, APIs, cloud-based services, and AI-enabled products
  • building data pipelines, application programming interfaces (APIs), and machine learning or generative artificial intelligence solutions in production environments