AI and Data Science Engineer II
About The Position
Join Deloitte’s Government & Public Services (GPS) AI & Data practice as an AI and Data Science Engineer II. Design, develop, and deploy scalable, secure AI and generative AI solutions using AWS Cloud services, helping implement capabilities across agentic AI, conversational AI, and other use cases that support public-sector clients and their missions. The role includes developing and integrating AI and GenAI solutions with Amazon Bedrock, Amazon Q, and other AWS services; building and maintaining cloud-native AI workflows; developing prompts, orchestration logic, data-processing pipelines, and model integrations; implementing security guardrails and error handling; and troubleshooting and supporting production AI solutions. Deloitte’s Government & Public Services practice serves federal, state, and local government clients and public higher education institutions. Its AI & Data offering provides solutions for designing, developing, and operating data and AI platforms, products, insights, and services. The role requires residence within commuting distance of the assigned office, daily commuting if required, and average travel of 30%.
Requirements
- At least 2 years of experience developing and deploying cloud-based software applications.
- At least 2 years of experience implementing application security controls, guardrails, and error handling for AI or cloud-based applications.
- Experience developing prompts, orchestration logic, data-processing pipelines, or model integrations.
- Ability to reside within a commutable distance of the assigned office and commute daily if required, without overnight accommodations.
- Ability to travel an average of 30%, depending on the work and clients served.
- Must be legally authorized to work in the United States without current or future employer sponsorship.
- Ability to work independently and collaboratively; effective written and verbal communication; meticulous attention to detail and quality; strong interpersonal skills and professional demeanor; ability to prioritize tasks in a fast-paced environment, meet deadlines, lead projects or workstreams, and provide clear guidance.
Nice To Haves
- Experience developing solutions in AWS, including AI and machine learning services.
- Experience with generative AI, large language models, prompt engineering, or AI agents.
- Experience deploying AI solutions in regulated environments or for federal, state, or local government, or public higher education clients.
Responsibilities
- Develop and integrate AI and GenAI solutions using Amazon Bedrock, Amazon Q, and other AWS services.
- Build and maintain cloud-native AI workflows using AWS Lambda, Amazon S3, and Amazon API Gateway.
- Develop prompts, orchestration logic, data-processing pipelines, and model integrations.
- Implement guardrails, security controls, and error handling for production AI solutions.
- Troubleshoot technical issues and support production readiness and ongoing enhancements.
- Work independently and collaboratively, manage and prioritize multiple tasks, meet deadlines, and provide clear guidance to others.
- Lead projects or workstreams and build and sustain professional relationships.
Benefits
- Broad range of employee benefits.
- May be eligible for a discretionary annual incentive program, subject to program rules and applicable factors.
- Opportunities for professional development, including on-the-job learning, formal development programs, mentorship, skill building, and leadership opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
