Forward Deployed Software Engineer Jobs in Georgia
Forward Deployed Software Engineer jobs in Georgia are active and competitive, with strong demand concentrated in enterprise software, defense contracting, cybersecurity, and financial technology sectors and openings at every level from entry-level associate through senior and staff engineers. Atlanta anchors the market as the state's dominant tech hub, with meaningful hiring also in Savannah and Augusta, and employers such as NCR Voyix, Palantir, and Salesforce maintaining lasting presences and recurring forward deployed hiring across Georgia. The most in-demand specialties are customer-facing technical implementation, solutions engineering, and field integration work tied to enterprise and government clients. Find a role that fits below and apply directly.
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Showing 5 of 15+ Forward Deployed Software Engineer jobs
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
As a Principal Forward Deployed Engineer, you’ll lead the deployment and scaling of a next-generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems. This role is uniquely field-facing. You'll work directly with clients, embedded in their environments, navigating real-world constraints that don't surface in controlled settings. The combination of hands-on engineering, client-facing delivery, and direct product influence defines the role.
You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real-world environments and ensuring they work at scale.
You’ll be at the center of how these systems are deployed, adopted, and operated, helping organizations translate complex AI strategies into practical, high-impact solutions.
You'll take ownership of the platform delivery lifecycle, including the most demanding engagements, where environments are often non-standard and requirements evolve quickly. You’ll lead large-scale, multi-workstream deployments across cloud and hybrid infrastructures in enterprise environments (e.g., AWS, Azure, GCP), guiding architectural decisions and setting direction for complex deployments across engagements.
Your work frequently involves containerized and distributed systems, including Kubernetes-based environments, where reliability, scalability, and operational stability are critical. From validating performance and resilience to ensuring structured handovers, your work ensures systems are production-ready and built to last. Along the way, you’ll help shape how delivery is structured across teams, evolving tooling, automation, and delivery practices based on real-world experience, and working hands-on to resolve complex issues in production.
The impact of your work is tangible. You’ll enable clients to run advanced AI-driven workflows and manage intelligent systems within their existing technology ecosystems, often in regulated or multi-region settings. Working closely with senior technical stakeholders, you’ll help define deployment strategies, navigate complex challenges, and guide adoption through practical, experience-led best practices. Your perspective from the field will also feed directly into product development, influencing how QuantumBlack, AI by McKinsey’s technology continues to evolve. You'll maintain a continuous feedback loop with the product team — surfacing patterns from the field, contributing to issue resolution, and helping ensure that real-world deployment experience shapes the platform's evolution.
Based in one of our North America offices, you’ll work closely with engineers, product teams, and technical experts across QuantumBlack, AI by McKinsey’s global community. Beyond leading deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. You’ll also play a key role in developing others—mentoring engineers, reviewing approaches, and helping teams raise the bar for quality and delivery. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments.
At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
Bachelor's, Master's in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
8+ years of hands-on experience in software, platform, or infrastructure engineering, with a track record of leading enterprise-scale platform rollouts
Strong full-stack engineering — proficiency in Python and modern web frameworks (React, NextJS or equivalent)
Experience designing, deploying, and managing cloud-based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands-on experience operating and troubleshooting production systems; deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale
Experience leading complex deployments, guiding architectural decisions, and driving delivery standards across engagements in multi-stakeholder environments
Strong experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm), contributing to scalable delivery automation
Strong understanding of data architectures and platform design, including hands-on experience with relational databases (e.g., PostgreSQL) and familiarity with graph databases (e.g., Neo4j), alongside data pipelines and system integration patterns
Experience with AI-native platform concepts, including model integration patterns, agentic architectures (tool calling, prompt orchestration, multi-agent workflows), and data pipelines that support AI-driven applications is a plus
Strong problem-solving skills with a structured approach to debugging and resolving issues in complex, non-standard environments, including operating and troubleshooting distributed systems in production
Experience with DevSecOps, infrastructure security, and networking fundamentals (e.g., IAM/SSO, RBAC, secrets management, VPNs, DNS, load balancing); experience with delivery standards, runbook development, and automation frameworks is a strong advantage
Familiarity with observability, monitoring, and compliance practices, and experience working in secure or regulated environments is preferred
Willingness to travel
Ability to communicate effectively in client-facing settings, including leading technical discussions, facilitating workshops, and presenting to senior stakeholders
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
As a Principal Forward Deployed Engineer, you’ll lead the deployment and scaling of a next-generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems. This role is uniquely field-facing. You'll work directly with clients, embedded in their environments, navigating real-world constraints that don't surface in controlled settings. The combination of hands-on engineering, client-facing delivery, and direct product influence defines the role.
You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real-world environments and ensuring they work at scale.
You’ll be at the center of how these systems are deployed, adopted, and operated, helping organizations translate complex AI strategies into practical, high-impact solutions.
You'll take ownership of the platform delivery lifecycle, including the most demanding engagements, where environments are often non-standard and requirements evolve quickly. You’ll lead large-scale, multi-workstream deployments across cloud and hybrid infrastructures in enterprise environments (e.g., AWS, Azure, GCP), guiding architectural decisions and setting direction for complex deployments across engagements.
Your work frequently involves containerized and distributed systems, including Kubernetes-based environments, where reliability, scalability, and operational stability are critical. From validating performance and resilience to ensuring structured handovers, your work ensures systems are production-ready and built to last. Along the way, you’ll help shape how delivery is structured across teams, evolving tooling, automation, and delivery practices based on real-world experience, and working hands-on to resolve complex issues in production.
The impact of your work is tangible. You’ll enable clients to run advanced AI-driven workflows and manage intelligent systems within their existing technology ecosystems, often in regulated or multi-region settings. Working closely with senior technical stakeholders, you’ll help define deployment strategies, navigate complex challenges, and guide adoption through practical, experience-led best practices. Your perspective from the field will also feed directly into product development, influencing how QuantumBlack, AI by McKinsey’s technology continues to evolve. You'll maintain a continuous feedback loop with the product team — surfacing patterns from the field, contributing to issue resolution, and helping ensure that real-world deployment experience shapes the platform's evolution.
Based in one of our North America offices, you’ll work closely with engineers, product teams, and technical experts across QuantumBlack, AI by McKinsey’s global community. Beyond leading deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. You’ll also play a key role in developing others—mentoring engineers, reviewing approaches, and helping teams raise the bar for quality and delivery. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments.
At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
Bachelor's, Master's in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
8+ years of hands-on experience in software, platform, or infrastructure engineering, with a track record of leading enterprise-scale platform rollouts
Strong full-stack engineering — proficiency in Python and modern web frameworks (React, NextJS or equivalent)
Experience designing, deploying, and managing cloud-based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands-on experience operating and troubleshooting production systems; deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale
Experience leading complex deployments, guiding architectural decisions, and driving delivery standards across engagements in multi-stakeholder environments
Strong experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm), contributing to scalable delivery automation
Strong understanding of data architectures and platform design, including hands-on experience with relational databases (e.g., PostgreSQL) and familiarity with graph databases (e.g., Neo4j), alongside data pipelines and system integration patterns
Experience with AI-native platform concepts, including model integration patterns, agentic architectures (tool calling, prompt orchestration, multi-agent workflows), and data pipelines that support AI-driven applications is a plus
Strong problem-solving skills with a structured approach to debugging and resolving issues in complex, non-standard environments, including operating and troubleshooting distributed systems in production
Experience with DevSecOps, infrastructure security, and networking fundamentals (e.g., IAM/SSO, RBAC, secrets management, VPNs, DNS, load balancing); experience with delivery standards, runbook development, and automation frameworks is a strong advantage
Familiarity with observability, monitoring, and compliance practices, and experience working in secure or regulated environments is preferred
Willingness to travel
Ability to communicate effectively in client-facing settings, including leading technical discussions, facilitating workshops, and presenting to senior stakeholders
See All 15 Forward Deployed Software Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find JobsForward Deployed Software Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Forward Deployed Software Engineer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Technology & Software
- Accounting & Auditing
- Investment & Asset Management
What Georgia Employers Look For
The qualifications that appear most often in forward deployed software engineer jobs across Georgia.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Hands-on experience with software deployment, integration, or implementation in customer-facing environments
- Proficiency in one or more programming languages such as Python, Java, or Go
- Ability to travel to Georgia client sites and work on-site during deployment phases
- Strong communication skills for translating technical concepts to non-technical stakeholders
- Experience with cloud platforms such as AWS, Azure, or Google Cloud in production environments
Forward Deployed Software Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a forward deployed software engineer in Georgia?
Most forward deployed software engineers in Georgia enter the role through a computer science or software engineering degree followed by experience in software development, solutions engineering, or technical consulting. Georgia does not require a state-issued license for this role. Employers typically look for candidates who have shipped software in production environments and can work directly with enterprise or government clients. Building a portfolio that demonstrates end-to-end deployment or integration work strengthens applications considerably.
How much do forward deployed software engineers make in Georgia?
Forward deployed software engineers in Georgia earn a median of about $131,010 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,110 for the lowest 10% to over $176,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire forward deployed software engineers in Georgia?
Employers hiring forward deployed software engineers in Georgia right now include Deloitte, Databricks, and Mastercard, based on current listings on Migrate Mate as of August 2026. Georgia's concentration of defense contractors, fintech firms, and enterprise software companies in the Atlanta metro creates steady recurring demand for this specialized role.
Which Georgia cities have the most forward deployed software engineer jobs?
Atlanta have the most forward deployed software engineer openings in Georgia. Atlanta drives the majority of demand as the state's headquarters hub for enterprise technology, financial services, and defense contractors, while Savannah and Augusta contribute openings tied to military installations and logistics technology clients that require on-site technical implementation work.
Are there remote forward deployed software engineer jobs in Georgia?
Yes, but they're limited. The forward deployed model is built around on-site customer work, so most roles require regular travel or local presence at client sites. About 25% of forward deployed software engineer openings tied to Georgia are remote or hybrid as of August 2026, and those tend to be in the pre-deployment scoping or post-deployment support phases rather than the core implementation work itself.
How can I get hired as a forward deployed software engineer in Georgia with little or no experience?
The most realistic entry path is through an adjacent role such as technical support engineer, implementation consultant, or solutions engineer at one of Atlanta's many enterprise software companies, then transitioning into forward deployed work after demonstrating client-facing skills. Georgia employers including NCR Voyix and Salesforce run structured associate and new-graduate technical programs that feed into customer-facing engineering tracks. Building project experience through Georgia Tech's cooperative education program or open-source deployment work can also make a candidate credible for entry-level forward deployed positions.
Where can I find and apply to forward deployed software engineer jobs in Georgia?
You can find and apply to forward deployed software engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings from employers actively hiring for this role. Search the listings, find roles that match your experience and location, and apply directly to the ones that fit.
See All 15 Forward Deployed Software Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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