Lead AI and Data Solutions Engineer II
- Leading the design and delivery of data and AI solutions that align technology outcomes to business requirements
- Defining architecture patterns, engineering standards, and delivery approaches for data platforms, machine learning solutions, and application integrations
- Overseeing the build of data pipelines, APIs, cloud-based services, and AI-enabled products across the solution lifecycle
- Collaborating with business, product, engineering, and delivery stakeholders to translate requirements into implementation plans
- Leading project teams, reviewing technical deliverables, and managing execution across timelines, dependencies, and risks
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or Physics
- 8+ years of experience designing and delivering data platforms, analytics solutions, or artificial intelligence solutions
- 5+ years of experience leading engineering teams, technical workstreams, or technology implementations
- 4+ years of experience with Python, Structured Query Language (SQL), and at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- 4+ years of experience building data pipelines, application programming interfaces (APIs), and machine learning or generative artificial intelligence solutions in production environments
- Ability to travel 10-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Master's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or Statistics
- Experience with Databricks, Snowflake, Apache Spark, or Kubernetes
- Experience with large language models, retrieval-augmented generation, vector databases, or machine learning operations (MLOps) tooling
- Experience with continuous integration/continuous deployment (CI/CD), infrastructure as code, and containerized deployments
- Experience serving clients in financial services, health care, consumer, or government sectors
- Industry certifications in AWS, Azure, GCP, Databricks, or Snowflake
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