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Science Engineering Jobs in Georgia (NOW HIRING)

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Share Agentic AI, AI & Data Science Engineer with Facebook Share Agentic AI, AI & Data Science Engineer with LinkedIn Share Agentic AI, AI & Data Science Engineer with Twitter Caution against ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field * Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

The ideal candidate will collaborate with data analysts, data scientists, and software engineers to ... data engineering or related roles • Experience with modern data stack tools like Airflow ...

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ...

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ...

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Showing results 1-20

Science Engineering information

See Georgia salary details

$34.2K

$83.4K

$132.1K

How much do science engineering jobs pay per year?

As of Aug 1, 2026, the average yearly pay for science engineering in Georgia is $83,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $97,900.00 per year, depending on experience, location, and employer.

How do science engineers typically collaborate with cross-functional teams on research and development projects?

Science engineers often work closely with professionals from various disciplines, such as chemists, physicists, software developers, and project managers, to drive innovation and problem-solving. Collaboration usually involves regular meetings to align on project goals, share research findings, and coordinate technical tasks. Effective communication and teamwork are essential, as science engineers must relay complex concepts in accessible terms and integrate feedback from different perspectives. This collaborative environment not only fosters creative solutions but also provides opportunities for professional growth and learning from peers in related fields.

What is the difference between Science Engineering vs Mechanical Engineering?

AspectScience EngineeringMechanical Engineering
Required CredentialsBachelor's or higher in Science Engineering or related fieldsBachelor's or higher in Mechanical Engineering
Work EnvironmentResearch labs, development centers, academiaManufacturing, design firms, industrial settings
Industry UsageResearch, product development, scientific analysisDesign, testing, manufacturing of mechanical systems

Science Engineering focuses on applying scientific principles to research and development, often in labs or academic settings. Mechanical Engineering emphasizes designing and manufacturing mechanical systems in industrial environments. While both require strong technical skills, their work environments and primary goals differ significantly.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to design, develop, and improve technology, systems, or processes. They work at the intersection of science and engineering, often using their expertise to solve complex technical problems in fields such as materials science, biotechnology, environmental engineering, and more. Science engineers may conduct experiments, analyze data, and collaborate with scientists and other engineers to innovate new solutions. Their work is essential in advancing technology and addressing real-world challenges. Science engineers are found in research institutions, government agencies, and a wide range of industries.

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

To thrive as a Science Engineer, you need a solid background in mathematics, scientific principles, and engineering fundamentals, typically supported by a relevant bachelor's degree or higher. Familiarity with industry-specific software, laboratory equipment, and certifications such as Professional Engineer (PE) licensure are often required. Strong problem-solving abilities, collaboration, and effective communication skills help Science Engineers excel in team-based environments and complex projects. These skills and qualities are crucial for developing innovative solutions, ensuring safety, and advancing scientific and engineering objectives.
What are popular job titles related to Science Engineering jobs in Georgia? For Science Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Science Engineering jobs in Georgia look for? The top searched job categories for Science Engineering jobs in Georgia are:
What cities in Georgia are hiring for Science Engineering jobs? Cities in Georgia with the most Science Engineering job openings:
Infographic showing various Science Engineering job openings in Georgia as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,390 per year, or $40.1 per hour.

Agentic AI and Data Science Engineering Delivery Manager

Deloitte

Atlanta, GA • On-site

Other

Re-posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

57th of 150 rated financial services


Job description

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 an Agentic Engineering Manager, you will operate as a value-stream leader who ensures business value flows from ideation to customer delivery by orchestrating work intake, assignments, quality oversight, and completeness verification across AI agent teams. Focus is on stakeholder outcomes, coordination, and ensuring "done" truly means done.

Additionally, you will:

  • Orchestrate work intake, prioritization, and assignment across the value stream
  • Lead stakeholder management, translating business needs into clear acceptance criteria for agent teams
  • Provide quality oversight and completeness verification-ensuring "done" truly means done
  • Set guardrails, define constraints, and establish risk controls for agent-driven delivery
  • Coordinate dependencies across teams and manage delivery rhythm (planning, reviews, escalations)
  • Guide Analyst and Architect agent teams on requirements, user stories, and technical direction
  • Monitor delivery health and intervene when agent workflows stall or produce off-target results

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 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 or Engineering.
  • 5+ years of experience in delivery leadership, product management, or program management roles
  • 5+ years of experience defining acceptance criteria, quality standards, and release readiness gates 5+ years of Agile & Lean practices experience, including sprint planning, backlog refinement, retrospectives, continuous improvement
  • 2+ years of experience with AI-assisted development tools and their capabilities/limitations
  • Ability to travel 50%, 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
  • Must be able to obtain and maintain the required clearance for this role 

Preferred: 

  • Stakeholder management skills with ability to balance competing priorities
  • Strong facilitation and communication skills for planning sessions, reviews, and escalations
  • Track record of improving delivery flow, reducing bottlenecks, or optimizing team processes 

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 $93,200 to $155,400.

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 an Agentic Engineering Manager, you will operate as a value-stream leader who ensures business value flows from ideation to customer delivery by orchestrating work intake, assignments, quality oversight, and completeness verification across AI agent teams. Focus is on stakeholder outcomes, coordination, and ensuring "done" truly means done.

Additionally, you will:

  • Orchestrate work intake, prioritization, and assignment across the value stream
  • Lead stakeholder management, translating business needs into clear acceptance criteria for agent teams
  • Provide quality oversight and completeness verification-ensuring "done" truly means done
  • Set guardrails, define constraints, and establish risk controls for agent-driven delivery
  • Coordinate dependencies across teams and manage delivery rhythm (planning, reviews, escalations)
  • Guide Analyst and Architect agent teams on requirements, user stories, and technical direction
  • Monitor delivery health and intervene when agent workflows stall or produce off-target results

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 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 or Engineering.
  • 5+ years of experience in delivery leadership, product management, or program management roles
  • 5+ years of experience defining acceptance criteria, quality standards, and release readiness gates 5+ years of Agile & Lean practices experience, including sprint planning, backlog refinement, retrospectives, continuous improvement
  • 2+ years of experience with AI-assisted development tools and their capabilities/limitations
  • Ability to travel 50%, 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
  • Must be able to obtain and maintain the required clearance for this role 

Preferred: 

  • Stakeholder management skills with ability to balance competing priorities
  • Strong facilitation and communication skills for planning sessions, reviews, and escalations
  • Track record of improving delivery flow, reducing bottlenecks, or optimizing team processes 

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 $93,200 to $155,400.

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:

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