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Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead AI and Data Solutions Engineer II on the Industry Solutions Engineering team, you will be responsible for...

• 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

A successful candidate would possess these skills:

• 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 Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

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.

Preferred:

• 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $224,100. 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Lead AI and Data Solutions Engineer II on the Industry Solutions Engineering team, you will be responsible for...

• 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

A successful candidate would possess these skills:

• 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 Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

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.

Preferred:

• 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $224,100. 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type: