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New Grad Ai Software Engineer Jobs in Decatur, AL

Senior Software Engineer

Huntsville, AL ยท On-site

$121K - $160K/yr

Job Summary : Camgian is seeking a Senior Software Engineer who will lead the development of ... Since 2006, Camgian has created the future for defense and industry through AI, software, and data ...

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Job Title AI/ML SOFTWARE ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

Software Engineer

Huntsville, AL ยท On-site

$86K - $198K/yr

As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Engineer

Huntsville, AL ยท On-site

$86K - $198K/yr

As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Software Engineer

Huntsville, AL ยท On-site

$86K - $198K/yr

As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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New Grad Ai Software Engineer information

See Decatur, AL salary details

$59.5K

$138.3K

$192.6K

How much do new grad ai software engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for new grad ai software engineer in Decatur, AL is $138,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $162,200.00 per year, depending on experience, location, and employer.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What are the key skills and qualifications needed to thrive as a New Grad AI Software Engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What does a New Grad AI Software Engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are some common challenges faced by new grad AI Software Engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.
What job categories do people searching New Grad Ai Software Engineer jobs in Decatur, AL look for? The top searched job categories for New Grad Ai Software Engineer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for New Grad Ai Software Engineer jobs? Cities near Decatur, AL with the most New Grad Ai Software Engineer job openings:
Distinguished AI Software Engineer

Distinguished AI Software Engineer

Frontier Technology Inc.

Huntsville, AL โ€ข On-site, Remote

Full-time

Posted 6 days ago

New


Job description

Overview
FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
FTI Defense is seeking a Distinguished Software Engineering Lead to serve as both a hands-on architect and integrator for mission-critical software and data platforms. This role is designed for a player-coach-someone who provides technical vision, architectural oversight, and mentoring, while contributing directly to the design and development of secure, scalable, and modernized solutions. The Distinguished Engineer will act as the connective tissue between software execution teams, product and solution management, and business development, ensuring solutions are scalable, secure, and aligned with long-term innovation goals.
Responsibilities
  • Architecture & Systems Integration
    • Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.
    • Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.
    • Define and enforce architectural principles, modularity standards, and software best practices across development teams.
    • Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.
  • Cloud Engineering & DevSecOps
    • Engineer cloud-native solutions in AWS GovCloud or hybrid IL4-IL6 environments with strict security and accreditation requirements.
    • Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows.
    • Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.
    • Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.
  • Data Infrastructure & Orchestration
    • Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).
    • Shape data architectures that balance throughput, latency, and cost across distributed mission environments.
    • Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.
  • Automation, Operationalization & Sustainment
    • Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.
    • Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.
    • Partner with program and product leadership to align delivery with mission lifecycle requirements.
  • Security & Resilience
    • Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions.
    • Design and maintain secure enclave architectures, boundary controls, and cross-domain integration solutions.
    • Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.
  • Innovation & Ecosystem Integration
    • Integrate emerging technologies, open standards, and modern frameworks into operational systems.
    • Collaborate with AI/ML, data, and simulation teams to enable model integration and inference services within production software (familiarity with MLOps concepts preferred).
    • Evaluate new tools and frameworks to improve developer productivity, performance, and automation efficiency.
  • Leadership & Mentorship
    • Lead by example as a hands-on technical authority, guiding design and implementation decisions.
    • Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity.
    • Partner with fellow Distinguished Engineers and organizational leaders to align platform strategy with enterprise innovation goals.
    • Communicate complex technical concepts clearly to both executive and engineering stakeholders.

Education/Qualifications
**Preferring candidates close to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO. Or willing to travel to these locations and customer sites, as needed.
Required:
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field (Master's preferred).
  • 10-15 years of progressive software engineering experience, with at least 5 years in a technical leadership or architecture role.
  • Proven success architecting and deploying secure, distributed, cloud-native software platforms.
  • Deep experience with AWS GovCloud or IL4-IL6 hybrid environments.
  • Hands-on proficiency with Infrastructure-as-Code (Terraform, CloudFormation, or CDK) and CI/CD automation.
  • Strong understanding of DevSecOps, zero-trust principles, and mission accreditation (ATO/RMF) processes.
  • Demonstrated ability to operationalize software systems from prototype through accreditation in secure environments.
  • Strong coding experience in one or more core languages (Python, Java, C++, TypeScript).

Desired:
  • Experience developing developer-facing APIs, SDKs, or enablement platforms for enterprise-scale interoperability.
  • Familiarity with containerization and orchestration (Docker, Kubernetes, ArgoCD, or Rancher).
  • Awareness of MLOps and AI solution integration practices - capable of collaborating with AI/ML teams on model deployment and sustainment.
  • Proven ability to mentor engineers and influence enterprise-level software design decisions.
  • Recognized for contributions advancing automation, performance, and platform modernization within secure environments.
  • Comfortable balancing architecture, coding, and stakeholder engagement in fast-paced mission contexts.

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