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Ai Algorithm Engineer Jobs in Fort Wayne, IN (NOW HIRING)

AI-enabled RF analysis, mission systems, and adaptive signal-processing capabilities as part of the ... RF algorithm development, communications-system modeling, mission simulation, and scenario ...

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Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching problem decomposition, algorithm design, and code implementation across ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain object-oriented programming principles, algorithm efficiency, and common data ...

Java Tutor

Fort Wayne, IN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Machine Learning Tutor

Fort Wayne, IN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

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Ai Algorithm Engineer information

See Fort Wayne, IN salary details

$58.7K

$110.1K

$200.3K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Fort Wayne, IN is $110,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,700.00 per year, depending on experience, location, and employer.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What job categories do people searching Ai Algorithm Engineer jobs in Fort Wayne, IN look for?

The top searched job categories for Ai Algorithm Engineer jobs in Fort Wayne, IN are:

Infographic showing various Ai Algorithm Engineer job openings in Fort Wayne, IN as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $110,142 per year, or $53 per hour.

Lead Systems Engineer - Electronic Warfare

Fort Wayne, IN โ€ข On-site

Raytheon Technologies
Aerospace Product and Parts Manufacturingย โ€ขย 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Date Posted:

2026-06-25

Country:

United States of America

Location:

US-IN-FT WAYNE-150A ~ 1010 Production Rd ~ BLDG 150A

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon's Advanced Programs team is seeking a Lead Systems Engineer with experience in Electronic Warfare (EW) to support the development of next generation EW capabilities. In this role, you will lead and coordinate the design, development, and implementation of EW systems, working closely with crossfunctional engineering teams throughout the full lifecycle. This is a fulltime, on-site position located in Fort Wayne, Indiana.

What You Will Do:

  • Serve as the primary Systems Engineering focal point for the program
  • Lead the definition, development, and implementation of system architectures, algorithms, and interfaces for EW/Radar capabilities.
  • Manage configuration process, performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications
  • Partner with the Program Chief Engineer in ensuring the engineering team aligns to cost/schedule
  • Provide technical directions to multi-disciplinary program teams
    Implement and ensure adherence to systems engineering processes throughout the program lifecycle
  • Oversee the development and maintenance of technical documentation, including system specifications, design documents, and test plans
  • Coordinate system engineering activities, including requirements analysis, system design, integration, and testing
  • Conduct system level trade studies and performance analysis
  • Participate in design reviews, technical meetings, and customer presentations
    Support program management with technical risk assessments and mitigation strategies
  • Ensure the logical and systematic conversion of product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints. Performs architectural exploration
  • Decomposes customer specifications and system level requirements into sub-system and piece part requirements and generates verification criteria and plans for the requirements

Qualifications You Must Have:

  • Typically requires a Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline (preferably Systems Engineering, Electrical Engineering, Software Engineering, or Physics) and 10+ years of relevant systems engineering experience in EW/Radar system development, including requirements decomposition, architecture definition, system level integration & verification planning
  • Experience developing systems engineering artifacts such as requirements, specifications, interface control documents (ICDs), and verification/validation (V&V) plans
  • Experience supporting system level technical reviews (SRR, PDR, CDR, TRR) and coordinating across multi-disciplinary engineering teams
  • Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer:

  • Advanced EW/Radar architecture, algorithms, or signalprocessing methods
  • Experience analyzing and modeling EW/Radar system performance, including RF chain and endtoend behavior
  • Radar performance analysis tools or model development (e.g., MATLAB, algorithm prototyping)
  • AI/ML techniques applied to signal processing or algorithm enhancement
  • Knowledge of millimeterwave and microwave RF at the module or system level
  • Experience defining system architectures, performance budgets, and interface definitions (RF, digital, mixedsignal)
  • Integrating mixedsignal modules into higherlevel assemblies, including interface and configuration management
  • ModelBased Systems Engineering (MBSE) tools (e.g., Cameo)
  • Agile development tools and workflows (e.g., Jira, Confluence)
  • MATLAB, C/C++, Java, or DOORS
  • Experience supporting integration, verification, or test activities for complex EW/Radar systems
  • Experience preparing technical documentation or delivering systemlevel technical outputs to stakeholders
  • Flight test or field test experience supporting system-level evaluation and data analysis
  • Experience developing or interpreting security and cybersecurity requirements relevant to government systems


What We Offer:

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Eligible - relocationassistanceavailable for this position


Learn More & Apply Now!

  • Please consider the following role type definition as you apply for this role.
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
  • Fort Wayne, IN: https://careers.rtx.com/global/en/raytheon-indiana-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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