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
The Team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Qualifications Required:
- 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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