775 Aitraining jobs in the United States

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

AI Engineer - NYC - Hybrid

Our customer is a digital health startup on a mission to transform how healthcare is delivered and experienced. Backed by $45M in Series B funding from top-tier investors, they're building cutting-edge technology that uses AI to empower clinicians, streamline patient care, and improve healthcare outcomes at scale. The team combines expertise in healthcare, machine learning, and product design to tackle some of the industry's toughest challenges, from reducing administrative burden to delivering personalized patient experiences.

Role Overview:

We're seeking an AI Engineer who is excited to work at the intersection of AI innovation and real-world healthcare impact. In this role, you'll design, build, and deploy AI-driven solutions that directly enhance patient care and provider efficiency. You'll collaborate closely with clinicians, data scientists, and product teams to bring new AI capabilities from research to production.

Key Responsibilities:

• Research, prototype, and implement AI models in areas such as natural language processing, predictive analytics, and computer vision for healthcare applications.
• Fine-tune and evaluate large language models to ensure safety, accuracy, and compliance in clinical contexts.
• Work with product and engineering teams to integrate AI features into our core platform.
• Optimize inference performance, scalability, and reliability for healthcare-grade deployments.
• Stay ahead of emerging AI research and translate new advances into practical solutions.
• Ensure AI systems meet healthcare data privacy and compliance requirements (HIPAA).

Qualifications:

• 3+ years of experience in AI/ML engineering, with a track record of delivering production-ready models.
• Strong proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience working with LLMs, NLP pipelines, or multimodal models.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Understanding of data governance and privacy considerations, especially in healthcare.
• Bonus: prior experience in digital health, health informatics, or regulated AI systems.

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States, Europe and Asia. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

What You Will Be Doing

The Artificial Intelligence Software Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions. PRINCIPAL DUTIES AND

About the Role

• Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
• Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.
• Provides updates and recommendations to Director, Application Services.
• Optimizes existing generative AI models for improved performance, scalability, and efficiency.
• Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
• Contributes to the establishment of best practices and standards for AI development within the organization.
• Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
• Provides functional and technical support and enhancements for the firm's AI solutions.
• Provides technical mentorship and guidance to other team members.
• Creates and delivers end-user training and documentation and provides second-line support to other users.
• Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
• Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
• Participates in special projects and performs other duties as assigned.

Required Skills

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.

Required Experience

• 1-2 years' experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
• 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
• 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
• Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)

For additional information about our benefits, please click here.

This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.

WilmerHale is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

#LI-EC1

#LI-Hybrid

Qualifications:

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.

1st Edge is a growing business seeking top performers to join in our mission of developing Artificial Intelligence solutions for our government customers. We offer technically advanced, challenging work in an employee-centered environment driven by the desire to contribute to a meaningful purpose. Our employees work closely with Space and Missile Defense Command (SMDC), Missile Defense Agency (MDA), and the US Army Combat Capabilities Development Command (DEVCOM).

We believe in a balanced, quid pro quo relationship between the company and its employees, providing all benefits at no cost, plus generous time off. This balanced culture allows employees to do their best work and contributes to our extraordinary success rate. From an excellent benefits package to job autonomy with challenging work, 1st Edge cultivates an innovative and collaborative environment with meaningful work.

1st Edge is seeking a skilled Artificial Intelligence Engineer to join our team. In this position, you will play a vital role in developing and maintaining software for the Missile Defense Agency. You will be instrumental in developing complex software applications, to include creating and maintaining graphical front-end interfaces, visualization toolsets, SQL Database interfaces, multi-user GUI interfaces, and rule base assessments. This position is on-site at 1st Edge LLC or customer location in Huntsville, AL.

Required qualifications:

• 3+ years of experience developing AI solutions to address complex problems

• You must be a U.S. Citizen

• Active DoD security clearance required to apply

• Bachelor of Science/Engineering degree in computer science, computer engineering, software engineering, mathematics, or related discipline

• This an on-site position working full-time in a DoD facility on Redstone Arsenal, Huntsville, AL

• Provide expert engineering and/or scientific solutions for highly complex software applications that require Artificial Intelligence, including rule based, supervised and unsupervised learning techniques

• Development of robust Optimization Engines and optimization algorithm implementation into large scale software packages

• Designs, develops, and implements complex hardware, software, and database solutions using advanced techniques to meet system requirements and resolve problems

• Develop applications that are required to resolve resource conflicts and optimize scheduling of resources in a very dynamic operating environment

• Develop and deliver customized software products in support of multiple Agency stakeholders

• Use agile methodology in a DevSecOps to support the rapid development and delivery of standardized, reliable, integrated and secure capabilities to the applicable stakeholder

• Identify and integrate commercial off-the-shelf (COTS), Government off-the-shelf (GOTS), and open-source software to enhance the capabilities of agency software

• Develop and deliver cloud solutions that include the ability to analyze requirements and develop cloud ready solutions to support software development and data collection/services capabilities

• Evolve Missile Defense Agency software and development methodologies for legacy software tools to the use of DevSecOps, Agile, and Continuous Integration, Continuous Development, and Continuous Deployment software development approaches

• Prepare presentations and reports to communicate complex technical concepts to a broad audience

• Experience designing and developing business rule driven applications

• Experience developing applications used for optimized scheduling of resources in a very dynamic operating environment

• Experience and skills for the development of robust optimization engines and optimization algorithm implementation into large scale software packages

• Knowledge of missile defense simulations, test scenarios, trajectory analysis, weapon systems, sensors and command and control systems

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States, Europe and Asia. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

What You Will Be Doing

The Artificial Intelligence Software Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions. PRINCIPAL DUTIES AND

About the Role

• Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
• Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.
• Provides updates and recommendations to Director, Application Services.
• Optimizes existing generative AI models for improved performance, scalability, and efficiency.
• Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
• Contributes to the establishment of best practices and standards for AI development within the organization.
• Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
• Provides functional and technical support and enhancements for the firm's AI solutions.
• Provides technical mentorship and guidance to other team members.
• Creates and delivers end-user training and documentation and provides second-line support to other users.
• Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
• Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
• Participates in special projects and performs other duties as assigned.

Required Skills

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.

Required Experience

• 1-2 years' experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
• 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
• 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
• Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)

For additional information about our benefits, please click here.

This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.

WilmerHale is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

#LI-EC1

#LI-Hybrid

Qualifications:

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™

JOB DESCRIPTION

ASRC Federal is looking for an experienced AI Engineer - Intermediate to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) G6 at Redstone Arsenal, AL. The AI Engineer will lead a small, focused team consisting of an AI engineer and a Data Architect supporting the development and implementation of artificial intelligence (AI) and machine learning (ML) tools across ACC. These tools will enhance decision-making, optimize workflows, improve communication, and automate key project management functions.

The engineer will lead cross-functional collaboration efforts with data scientists, cybersecurity experts, and subject matter experts. The candidate will also support the Program Manager in task execution oversight, ensuring deliverables are timely, accurate, and aligned with the contract's performance standards. Solutions will leverage AI technologies such as Palantir Foundry, Microsoft Copilot, and other enterprise AI platforms.

KEY RESPONSIBILITIES

• Lead an AI/ML team supporting enterprise-wide automation, analytics, and insight initiatives
• Support the Program Manager in performance monitoring, compliance with training requirements, and team task tracking
• Coordinate technical delivery of AI solutions aligned to mission-specific use cases
• Design, develop, train, and optimize machine learning models for real-world application
• Evaluate model performance and implement improvements based on user and system feedback
• Analyze and preprocess large datasets for use in AI/ML pipelines
• Deploy AI/ML models in secure, on-premises environments, ensuring performance and scalability
• Collaborate with stakeholders to define project requirements and refine solutions for maximum impact
• Use platforms such as Palantir Foundry and Microsoft Copilot to create actionable insights and automation tools
• Draft documentation and provide guidance on AI usage to non-technical users

• Minimum of 3 years of experience working in AI/ML.
• Minimum 1 year experience leading teams in technical or engineering environments.
• Experience with:
• Microsoft Office Suite
• AI/ML platforms such as Palantir Foundry, Microsoft Copilot, or similar enterprise tools
• Model development, training, optimization, and deployment
• Preprocessing and analyzing large data sets
• Strong communication and leadership skills, with the ability to manage and guide technical teams
• Ability to define and document AI/ML use cases in coordination with stakeholders

• Experience leading AI/ML initiatives within DoD or federal government environments
• Familiarity with Agile development and MLOps practices
• Exposure to Python-based ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)
• Experience integrating AI models into enterprise software systems

• SECRET Clearance

• Bachelor's degree in information technology, Cybersecurity, Software Engineering, Data Science, Information Systems, or Computer Science from an ABET-accredited or CAE-designated institution. Will consider 4+ additional years of relevant experience in lieu of degree.

• Security+ Preferred

• This role is 100% on-site at Redstone Arsenal, AL.

Who We Are:

The Strategic Aerospace Department Office of the Director provides guidance and direction to a multi-disciplinary team of engineers that provides cutting edge engineering development services to the USAF.

Objectives of this Role:

• Lead Development of advanced proven Physics-based AI/ML algorithms/models.
• Support innovating/cutting edge research in the areas of AI as applied to System and or UAS/Avionics subsystems.
• Be the system architect for AI development.
• Manage and Lead a multidisciplinary staff (scientists, analysists and engineers) to delivery cutting edge AI solutions to programs.
• Write proposals, articles, and attend conferences.
• Train and mentor junior AI staff.

• Lead Solutions for AI systems and embedded Avionics systems and subsystems.
• Lead Solutions for Aircraft AI/ML sensor fusion.
• Review AI/ML Architectures/algorithms to verify/validate it meets integrated design requirements that have been developed by new- mid level AI staff.
• Manage all AI progress on projects and research.
• Lead Integration with a multidisciplinary engineering team to develop AI related hardware.

• Requires a Masters or a PhD in Mechanical Engineering, Electrical Engineering, Computer Engineering, Artificial Intelligence, Systems Engineering, Physics or directly related degree field with a focus on UAS, Avionics, AI, and or ML.
• Advanced degrees will be considered in lieu of some years of experience.
• 12+ years: Lead Development of firmware for AI solutions
• 12+ years: Machine Learning as applied to Data Science and technology.
• 12+ years: Leading AI and other software using Python, Tensor Flow, Keras, and PyTorch.
• A valid/clear driver's license is required.