Delivery Engineer Jobs (NOW HIRING)

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 06/9/2026.

Work you'll do

As a Software Engineer II on the Sales & Service team, you will be responsible for:

• Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments
• Participating in prompt engineering, retrieval-augmented generation (RAG), and early-stage AI prototyping under the guidance of senior team members
• Contributing to the integration of AI/ML models, including generative artificial intelligence and large language model (LLM)-based solutions, into business processes, applications, and user workflows
• Building and maintaining data pipelines, including data ingestion, transformation, validation, and preparation for analysis or model use
• Applying software engineering and AI tools to support business needs

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 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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or a technical field
• 1+ years of experience building reliable, maintainable, and well-documented code
• 1+ years of experience with generative artificial intelligence tools, large language model application programming interfaces, prompt engineering, or retrieval-augmented generation applications
• 1+ years of experience building and deploying generative artificial intelligence / large language model-powered solutions in client or production environments, including data preparation, testing, deployment, or monitoring
• Ability to travel 0-25%, 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:

• 1+ years of experience working with structured and/or unstructured data in a cloud or modern data environment such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience with data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker
• Experience translating business or user requirements into technical workflows, outputs, or solution components
• Experience with machine learning operations (MLOps) concepts such as model versioning, experiment tracking, or deployment workflows
• Government consulting experience

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 $71,300 to $140,600.

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.

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 06/9/2026.

Work you'll do

As a Software Engineer II on the Sales & Service team, you will be responsible for:

• Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments
• Participating in prompt engineering, retrieval-augmented generation (RAG), and early-stage AI prototyping under the guidance of senior team members
• Contributing to the integration of AI/ML models, including generative artificial intelligence and large language model (LLM)-based solutions, into business processes, applications, and user workflows
• Building and maintaining data pipelines, including data ingestion, transformation, validation, and preparation for analysis or model use
• Applying software engineering and AI tools to support business needs

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 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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or a technical field
• 1+ years of experience building reliable, maintainable, and well-documented code
• 1+ years of experience with generative artificial intelligence tools, large language model application programming interfaces, prompt engineering, or retrieval-augmented generation applications
• 1+ years of experience building and deploying generative artificial intelligence / large language model-powered solutions in client or production environments, including data preparation, testing, deployment, or monitoring
• Ability to travel 0-25%, 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:

• 1+ years of experience working with structured and/or unstructured data in a cloud or modern data environment such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience with data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow
• Experience with business intelligence and visualization tools such as Power BI, Tableau, or Looker
• Experience translating business or user requirements into technical workflows, outputs, or solution components
• Experience with machine learning operations (MLOps) concepts such as model versioning, experiment tracking, or deployment workflows
• Government consulting experience

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 $71,300 to $140,600.

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.