<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<p>We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML team and build the infrastructure that powers the development, evaluation, deployment, and continuous improvement of our language models and AI systems.</p>
<p>As our AI capabilities expand, we need robust infrastructure for moving models from experimentation into production. This role will own critical parts of that lifecycle, including LLMOps, fine-tuning infrastructure, model evaluation, dataset pipelines, experiment management, model serving, and production observability.</p>
<p>In order to do this job well: This is an engineering-heavy ML role. You will build platforms and infrastructure that allow AI engineers and researchers to rapidly experiment with models, datasets, and training techniques while maintaining the reproducibility, scalability, and reliability required for production systems.</p>
<p>You will work across the full model lifecycle - from dataset creation and experimentation through training, evaluation, deployment, monitoring, and iteration.</p>
<p>This role is a full-time position based in our Pittsburgh, PA office or open to Remote Opportunities.</p>
<p>This role may require up to 25% travel, including periodic travel to our Pittsburgh, PA and Arlington, VA offices for team collaboration, planning activities, and in-person meetings.</p>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Design and build LLMOps infrastructure supporting the development, evaluation, deployment, and continuous improvement of production language models.</li>
<li>Build scalable training and fine-tuning infrastructure for commercial and open-weight language models.</li>
<li>Develop pipelines supporting supervised fine-tuning, parameter-efficient fine-tuning, preference optimization, and other post-training techniques.</li>
<li>Build infrastructure for distributed training and GPU-accelerated ML workloads.</li>
<li>Develop data pipelines for training, fine-tuning, evaluation, and synthetic data generation.</li>
<li>Build systems for dataset versioning, lineage, quality validation, transformation, and reproducible experimentation.</li>
<li>Develop experiment management infrastructure that enables engineers to compare models, datasets, hyperparameters, prompts, and training techniques.</li>
<li>Build automated evaluation pipelines that determine whether new models or model versions are ready for production deployment.</li>
<li>Design model registries, artifact management, versioning, and promotion workflows across development and production environments.</li>
<li>Build and operate scalable model-serving and inference infrastructure for open-weight and fine-tuned models.</li>
<li>Develop abstractions that allow product and AI engineering teams to use multiple models and inference providers without tightly coupling applications to a single model or vendor.</li>
<li>Build observability for model training and inference, including metrics, tracing, logging, resource utilization, model quality, latency, throughput, and cost.</li>
<li>Optimize training and inference workloads for GPU utilization, throughput, latency, reliability, and infrastructure cost.</li>
<li>Build automated workflows for model deployment, rollback, canarying, and production validation.</li>
<li>Investigate model and infrastructure failures across data pipelines, training jobs, inference services, distributed systems, and production environments.</li>
<li>Evaluate emerging models, training techniques, inference frameworks, and ML infrastructure and determine where they can improve our production systems.</li>
<li>Partner closely with AI engineers building agentic systems to provide the model, evaluation, and training infrastructure required to continuously improve those systems.</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<div>
<ul>
<li>5+ years of experience building production machine learning systems, ML infrastructure, distributed systems, or similar technical systems.</li>
<li>Deep experience designing, building, and operating production ML infrastructure or ML platforms.</li>
<li>Experience building infrastructure for training, fine-tuning, evaluating, deploying, and monitoring large language models or other large-scale deep learning models.</li>
<li>Experience with LLM fine-tuning and post-training workflows, including techniques such as supervised fine-tuning, LoRA/QLoRA or other parameter-efficient approaches, and preference optimization.</li>
<li>Strong understanding of the modern LLM lifecycle, including data preparation, training, evaluation, model artifacts, deployment, inference, monitoring, and iteration.</li>
<li>Experience building reproducible ML pipelines involving dataset versioning, experiment tracking, model versioning, and automated evaluation.</li>
<li>Experience building and operating production GPU infrastructure across AWS, GCP, Azure, or dedicated GPU providers, including training and/or inference workloads.</li>
<li>Strong understanding of distributed systems and the challenges involved in running computationally intensive ML workloads at scale.</li>
<li>Strong programming experience in Python and experience building production-quality software.</li>
<li>Deep experience with containers, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.</li>
<li>Experience designing scalable APIs, services, asynchronous workloads, and data-processing pipelines.</li>
<li>Strong understanding of observability and operational reliability for production ML systems.</li>
<li>Comfortable debugging failures across training code, datasets, models, GPUs, distributed systems, and cloud infrastructure.</li>
<li>Able to move between ML experimentation and infrastructure engineering, understanding the needs of researchers and AI engineers while building systems that make those workflows scalable and reproducible.</li>
<li>Comfortable working in a rapidly evolving field where tooling, models, and best practices change quickly.</li>
</ul>
</div>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li>
<li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li>
<li>Experience building secure code execution environments or sandboxes for AI agents.</li>
<li>Experience with multi-agent architectures, agent-to-agent communication, or distributed agent execution.</li>
<li>Experience with fine-tuning, post-training, reinforcement learning, or synthetic data generation.</li>
<li>Experience building AI observability, tracing, and debugging infrastructure.</li>
<li>Experience optimizing inference latency, throughput, GPU utilization, or model-serving costs.</li>
<li>Experience with AI security, adversarial testing, or securing agentic systems.</li>
<li>Experience working in government, defense, or other mission-critical environments.</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Senior Machine Learning Engineer

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<p>The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This pivotal AI leadership role is instrumental in establishing a robust culture of decision-making Agentic AI and creating the AI platforms, the "brain" of  Air, designed to be leveraged by a broad community of AI and Data Science professionals within Air.</p>
<p>As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You'll apply your deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization, to enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.</p>
<p>To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward.</p>
This role is a full-time position located out of our office in Pittsburgh, PA or open to Remote Opportunities. 
<p>This role may require up to 10% travel</p>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li> Drive the development of a complex, multi-modal decision intelligence system, serving as the central nervous architecture for integrating advanced simulation, optimization, and predictive modeling capabilities across Air Enterprise Readiness platform.</li>
<li> Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.</li>
<li>Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.</li>
<li>Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.</li>
<li>Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape</li>
<li>Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.</li>
<li>Apply deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization.</li>
<li>Enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.</li>
<li>Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.</li>
<li>Serve as the domain expert in a specific area of AI (e.g., Deep Learning, Natural Language Processing, Decision Science), driving the application and development of state-of-the-art methods within that specialization.</li>
<li>Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.</li>
<li>Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.</li>
<li>Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.</li>
<li>Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, including advanced methods in simulation and optimization, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.</li>
<li>Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.</li>
<li>Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.</li>
<li>Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Minimum of 7 years of professional experience working as a Data Scientist in an industry setting</li>
<li>Oversee the full lifecycle of large-scale AI projects.</li>
<li>Possess deep knowledge and the ability to apply techniques such as Discrete Event Simulation (DES), agent based modeling and Monte Carlo methods to model complex capabilities.</li>
<li>Deep understanding and application of advanced optimization techniques, specifically including stochastic optimization.</li>
<li>Deep understanding and practical experience with Bayesian optimization, causal discovery, and causal modeling.</li>
<li>Ability to leverage simulation and optimization knowledge to enhance platforms for complex capability simulation and optimization in critical defense use cases.</li>
<li>Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries</li>
<li>Expertise in leveraging deep technical knowledge of AI solution internals (such as Deep Research systems) to design and implement custom, highly optimized solutions.</li>
<li>Ensure timely project delivery and strategic goal alignment.</li>
<li>Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).  </li>
<li>Define robust software architecture for large-scale AI systems and project roadmaps.</li>
<li>Translate high-level product requirements into actionable technical plans.</li>
<li>Deliver production-ready AI solutions integrated with clients' data platforms and workflows.</li>
<li>Drive the implementation of scalable AI/ML platforms.</li>
<li>Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations</li>
<li>Champion innovation and best practices across the organization.</li>
<li>Mentor and coach team members.</li>
<li>Foster a high-performing culture of technical excellence and continuous growth.</li>
<li>Help to the leadership to align AI strategy effectively with client needs.</li>
<li>Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.</li>
</ul>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas</li>
<li>Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems</li>
<li>Experience in LLM post-training or fine-tuning </li>
<li>Demonstrate strong National Security domain knowledge.</li>
<li>Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).</li>
<li>Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Senior Data Scientist - Simulation / Optimization

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<div>
<p>We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.</p>
<p>In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple, impactful AI solutions to complex defense problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality and rapid prototyping/deployment.</p>
<div>This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. </div>
<div><strong>This role may require up to 60% travel.</strong></div>
</div>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Develop AI/ML/DS systems to address defense problems.</li>
<li>Develop new AI-based stack of technologies for particular customer needs.</li>
<li>Development of evaluation solutions for AI deployments.</li>
<li>Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.</li>
<li>Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.</li>
<li>Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.</li>
<li>Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.</li>
<li>Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.</li>
<li>Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work.</li>
<li>Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<div>
<ul>
<li>Oversee the full lifecycle of AI projects within Air AI ecosystem.</li>
<li>Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries</li>
<li>Ensure timely project delivery and strategic goal alignment.</li>
<li>Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).  </li>
<li>Define robust software architecture for AI systems  and project roadmaps.</li>
<li>Translate high-level AI system requirements into actionable technical plans.</li>
<li>Deliver production-ready AI solutions integrated with clients data platforms and workflows.</li>
<li>Drive the implementation of scalable AI/ML platforms.</li>
<li>Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations</li>
<li>Champion innovation and best practices across the organization.</li>
<li>Mentor and coach team members.</li>
<li>Foster a high-performing culture of technical excellence and continuous growth.</li>
<li>Demonstrate strong National Security domain knowledge.</li>
</ul>
</div>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas</li>
<li>Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems</li>
<li>Experience in LLM posttraining or fine tuning </li>
<li>Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).</li>
<li>Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Forward Deployed Senior Data Scientist

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<div>
<div>
<p>We are seeking inquisitive, customer-value-oriented data scientists to join our Forward Deployed team.  In this role you will leverage a myriad of skills including statistical modeling, machine learning, and AI to drive outcomes from our customers. You are motivated by moving quickly but responsibly against urgent and compelling opportunities to deliver valuable outcomes to our customers. The idea of building something new energizes you. You want to work on problems that matter, and you want to own solutions. You understand and appreciate the value of face-to-face interactions with end users, and constantly seek to push the boundaries of what is possible.</p>
<p>In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You must possess exceptional judgment when it comes to balancing competing priorities and making tradeoffs. You must be flexible, you must value outcomes over process, you must thrive in ambiguous environments,  and above all else focus on solving valuable problems for our customers. </p>
<p>In a typical week, the individual who fills this position could expect to:</p>
<ul>
<li>Spend the day onsite with users, listening to problems and asking questions seeking to understand pain points</li>
<li>Collaborate with software engineers, implementation engineers, and designers to scope, architect, and deliver 0-to-1 product initiatives and prototypes.</li>
<li>Build and deliver working, customer-facing prototypes.</li>
<li>Assess, prioritize, and correct the most important gaps in prototype solutions under development based on user feedback and in partnership with product managers</li>
<li>Fail often, iterate quickly, and try again</li>
</ul>
<p>This role is a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. </p>
<p><strong>This role may require up to 60% travel.</strong></p>
</div>
</div>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Conduct customer site visits to diagnose and understand pain points</li>
<li>Translating vague customer needs into concrete AI workflows and data science solutions</li>
<li>Developing new AI and data science solutions and using existing ones to solve customer problems</li>
<li>Rapid prototyping of AI models, systems, heuristics, and agentic solutions</li>
<li>Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed</li>
<li>Taking end-to-end ownership of client problems</li>
<li>Working with cross-functional forward deployed teams to build end-to-end solutions in production deployments</li>
<li>Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments</li>
<li>Wrapping AI/DS solutions into AI agentic/skills frameworks</li>
<li>Craft clean, testable, and maintainable code</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, or related field, or equivalent work experience</li>
<li>1+ years of delivering data science, machine learning or AI solutions into a production software system</li>
<li>Ability to translate customer problems into technical AI requirements</li>
<li>Experience in integrating AI/DS solutions into agentic frameworks.</li>
<li>End-to-end ownership of client problems.</li>
<li>Ability to work independently with little supervision</li>
<li>Strong communication with non-technical users and technical users.</li>
<li>Collaboration with cross-functional teams for production deployment.</li>
<li>A burning desire to work in a challenging, fast-paced tech environment</li>
</ul>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>Current possession of a U.S. security clearance or the ability to obtain one with our sponsorship</li>
<li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li>
<li>Experience working within the boundaries of a federally accredited software environment</li>
<li>Experience working in a customer-facing or consulting role</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

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