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Delivery Engineer Jobs (NOW HIRING)

Deloitte

Agentic Delivery Engineer

Costa Mesa, CA · On-site

The Agentic Delivery Engineer will support the implementation of AI/ML solutions, build data pipelines, and integrate AI models into business processes, while collaborating with team members to drive ...

Deloitte

Agentic Delivery Engineer

Arlington, VA · On-site

The Agentic Delivery Engineer will support the implementation of AI/ML solutions, build data pipelines, and integrate AI models into business processes, while collaborating with team members to drive ...

Deloitte

Agentic Delivery Engineer

Fort Worth, TX · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Fresno, CA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Bellevue, WA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Arlington, VA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Denver, CO · On-site

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 ...

Deloitte

Agentic Delivery Engineer

San Francisco, CA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Inglewood, CA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

San Antonio, TX · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Pittsburgh, PA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Nashville, TN · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Mclean, VA · On-site

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 ...

Deloitte

Agentic Delivery Engineer

Costa Mesa, CA

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 ...

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$95.1K

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How much do delivery engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for delivery engineer in the United States is $95,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $124,500.00 per year, depending on experience, location, and employer.

How does a Delivery Engineer typically collaborate with other teams during a software rollout?

As a Delivery Engineer, you work closely with development, operations, and quality assurance teams to ensure seamless deployment of software solutions. Collaboration often involves participating in planning meetings, clarifying technical requirements, and troubleshooting issues that arise during deployment. You may also coordinate with customer support or client-facing teams to address post-deployment concerns and gather feedback, making communication skills essential. This cross-functional teamwork helps maintain project timelines and ensures successful, reliable deliveries.

What is the highest paid delivery job?

The highest paid delivery jobs are often in specialized sectors such as medical or pharmaceutical delivery, or roles involving large freight and logistics, which can pay significantly higher than standard courier positions. Delivery engineers or drivers with advanced skills, certifications, or experience in high-value or sensitive deliveries tend to earn the most in this field.

What is the difference between Delivery Engineer vs Network Engineer?

AspectDelivery EngineerNetwork Engineer
CertificationsCCNA, CCNP, Cisco certifications, cloud certificationsCCNA, CCNP, Cisco certifications, network security certifications
Work EnvironmentIT service providers, cloud companies, software deployment teamsTelecommunications, enterprise IT, data centers
Industry UsageTechnology, cloud services, software deploymentNetworking, telecommunications, infrastructure

Delivery Engineers focus on deploying and integrating software or cloud solutions, often working closely with clients to ensure successful delivery. Network Engineers specialize in designing, implementing, and maintaining network infrastructure. While both roles require networking certifications and work in IT environments, Delivery Engineers emphasize software deployment, whereas Network Engineers focus on network infrastructure management.

What are the key skills and qualifications needed to thrive as a Delivery Engineer, and why are they important?

To thrive as a Delivery Engineer, you need a solid understanding of software deployment, system integration, and project management, typically supported by a degree in computer science or a related field. Familiarity with CI/CD tools (such as Jenkins or GitLab), cloud platforms (like AWS or Azure), and relevant certifications (e.g., AWS Certified DevOps Engineer) are often necessary. Strong communication, problem-solving abilities, and adaptability help Delivery Engineers effectively collaborate with cross-functional teams and address evolving client needs. These skills ensure successful software delivery, seamless implementation, and high client satisfaction in dynamic technology environments.

What is a Delivery Engineer?

A Delivery Engineer is a professional responsible for deploying, configuring, and maintaining software or technology solutions for clients. They bridge the gap between development and operations by ensuring that products are delivered smoothly, reliably, and efficiently. Delivery Engineers often work closely with project managers, developers, and clients to understand requirements, troubleshoot issues, and implement solutions. Their role may also include automating deployment processes, monitoring performance, and providing technical support post-deployment.
More about Delivery Engineer jobs
What job categories do people searching Delivery Engineer jobs look for? The top searched job categories for Delivery Engineer jobs are:
Delivery Engineer jobs near you
Agentic Delivery Engineer

Agentic Delivery Engineer

Deloitte

Costa Mesa, CA • On-site

Full-time

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that empowers organizations to enhance customer relationships through innovative strategies and advanced technologies. The Agentic Delivery Engineer will support the implementation of AI/ML solutions, build data pipelines, and integrate AI models into business processes, while collaborating with team members to drive customer value.
Responsibilities:
• 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
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
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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