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Artificial Intelligence Developer Jobs in Fort Wayne, IN

Mill Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lathe Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lathe Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Mill Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Senior Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Mill Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Lathe Machinist

Fort Wayne, IN · On-site

$22 - $35/hr

Train on quote creation and reading, machine programming and operation, safety procedures, and ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Showing results 21-40

Artificial Intelligence Developer information

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

How do I become an artificial intelligence developer?

To become an artificial intelligence developer, you typically need a strong foundation in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Earning a bachelor's degree in a related field and gaining experience through projects, internships, or certifications can also help build relevant expertise.

How much do artificial intelligence developers get paid?

Artificial intelligence developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python often command higher salaries.

What are popular job titles related to Artificial Intelligence Developer jobs in Fort Wayne, IN?

For Artificial Intelligence Developer jobs in Fort Wayne, IN, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Developer jobs in Fort Wayne, IN look for?

The top searched job categories for Artificial Intelligence Developer jobs in Fort Wayne, IN are:

Infographic showing various Artificial Intelligence Developer job openings in Fort Wayne, IN as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Principal Systems Lead Engineer

General Dynamics Mission Systems, Inc

Fort Wayne, IN • On-site, Remote

$174K - $183K/yr

Full-time

Re-posted 9 days ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

114th of 246 rated software companies


Job description

Basic Qualifications
Education Requirements:
Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 10 years of relevant experience; or Master's degree, plus a minimum of 8 years of relevant experience.
Clearance Requirements:
Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
Required Qualifications
  • Bachelor's in a STEM field and 10+ years of systems engineering experience; or Master's + 8 years.
  • Demonstrated systems engineering leadership on complex, multi-disciplinary defense programs-requirements decomposition, system architecture, interface definition, and driving delivery from design through field demonstration.
  • System-of-Systems integration experience spanning autonomy, RF communications, unmanned vehicles, munitions, sensors, and C2 software.
  • Hands-on prototype development leadership-managing build schedules and driving teams through iterative build-test-learn cycles.
  • Hardware/software integration experience including board-level integration, embedded software deployment, and firmware/software version management.
  • Proficiency with MBSE tools (SysML, Cameo/MagicDraw, or equivalent) for requirements capture, architecture modeling, and ICD generation.
  • Experience authoring ICDs, SSS, System Development Plans, CONOPS documentation, and CDRLs for DoD programs.
  • Ability to lead cross-functional, multi-vendor engineering teams with strong written and verbal communication skills.
  • Active DoD Secret security clearance; U.S. citizenship required.
  • Willingness to travel up to 25% (event-driven: demonstrations, customer reviews, integration events) is REQUIRED

Preferred Qualifications
  • Prior experience on munitions, counter-obstacle, or related DoD programs.
  • Autonomous systems experience-UGVs, navigation, perception, and human-machine teaming.
  • RF communications systems experience-SDR, mesh networking, anti-jam, and BLOS integration.
  • Familiarity with AI/ML inference on embedded edge platforms (NVIDIA Jetson/CUDA/TensorRT).
  • Munitions and fuzing systems knowledge-warhead integration, safe-and-arm devices, fire control, and fuze safety (MIL-STD-1316).
  • Experience with MIL-STD-810, MIL-STD-461, MIL-STD-882E, and related military standards.
  • Embedded Linux, Jetson/GPU platforms, and real-time embedded software experience.
  • Familiarity with TAK ecosystem, Cursor on Target (CoT) protocols, and battle management system integration.
  • Cybersecurity compliance experience-RMF, NIST SP 800-53, DISA STIGs.
  • Reliability & Maintainability engineering-R&M predictions, FRACAS, FMEA/FMECA.
  • Human-Centered Design (HCD) experience-wireframing, user interface design, operator interaction analysis.
  • Use of Artificial Intelligence (AI) tools in the creation of systems engineering artifacts.

Tools & Environment
  • Cameo/MagicDraw (MBSE), Confluence, Jira, Python, MATLAB/Simulink, Git, Creo/SolidWorks (CAD review), AWS, WinTAK/GeoSuite, lab instrumentation (oscilloscopes, spectrum analyzers, logic analyzers).

Key Responsibilities
  • Technical Leadership: Lead a multi-discipline engineering team through technical, program, and customer meetings. Guide junior engineers, drive integration and test execution, coordinate with subcontractor teams, and remove blockers to maintain schedule momentum.
  • Systems Engineering Lifecycle: Own requirements analysis, system architecture, interface definition, CDRL development, prototype build, integration execution, and customer deliverables across a System-of-Systems encompassing autonomous vehicles, munitions, RF communications, and C2 software.
  • Requirements Management: Decompose, trace, and validate system requirements. Manage customer and derived requirements across all subsystems with bidirectional traceability from requirements through design and verification evidence.
  • System Architecture & MBSE: Develop and maintain a model-based system architecture covering functional, logical, and physical decomposition. Define system interfaces and ensure traceability from requirements through design solutions.
  • Prototype Development: Lead design, fabrication, and iterative build of system and subsystem prototypes. Coordinate hardware procurement, manage lab standup, and drive build-test-learn cycles to rapidly mature system capabilities.
  • Hardware/Software Integration: Oversee HW/SW implementation across all subsystems. Review and approve design decisions, manage firmware/software version baselines, and resolve interface issues during integration.
  • ICD & Technical Documentation: Lead Interface Control Document development for all internal and external interfaces. Author System Development Plans, System/Subsystem Specifications, and Monthly Technical Reports meeting DI-series data item descriptions.
  • Safety & Cybersecurity: Support system safety analysis (FHA, hazard identification, risk assessment) per MIL-STD-882E and review board activities. Contribute to RMF cybersecurity compliance and System Security Plan development.
  • Integration & Test: Drive test case development, procedure reviews, and hands-on integration activities. Lead Problem Review Boards, resolve test discrepancies, and drive knowledge point demonstrations and customer acceptance testing.

Workplace Options:
This position is fully onsite, remote or Hybrid/Flex based on candidate qualifications.
While on-site, you will be a part of the Ft Wayne, Indiana team.
#LI-JH1
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $174,203.00 - USD $183,730.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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