Ai Architect in Aerospace and Defense

Xenon7 is an inferno where skill, dedication, and passion run together.

Are you curious-minded and passionate about pushing the boundaries of technology? Do you dream of using AI to address the world's most pressing challenges, from healthcare to education, energy, or food security? Whether you're a professor, technologist, scientist, or someone brimming with creative potential, we invite you to explore career opportunities at the forefront of AI innovation.

**Job Summary**:
Aerospace & Defense (A&D) is a broad field encompassing the design, development, operation, and maintenance of aircraft, spacecraft, missiles, and related defense systems. It plays a pivotal role in national security, transportation, scientific exploration, and technological innovation.

Senior Fellow in this domain, possess knowledge and experience in fields of Aeronautics & Astronautics (Aircraft Design & Manufacturing, Spacecraft Design & Exploration, Flight Operations & Air Traffic Management); Defense Systems & Technologies (Weapon Systems: Design, Command, Control, Robotics & Autonomous Systems); Advanced Materials & Manufacturing (Composites & Lightweight Materials, Additive Manufacturing (3D Printing), Advanced Propulsion Systems) and have solved problems using AI/ML methodologies such as:

- Design Optimization: AI algorithms optimize aircraft and spacecraft designs for improved performance, fuel efficiency, and structural integrity
- Predictive Maintenance: AI analyzes sensor data to predict equipment failures before they occur, reducing downtime and costs
- Autonomous Systems: AI enables autonomous flight operations, unmanned vehicles, and intelligent decision-making in combat scenarios
- Cybersecurity & Threat Detection: AI strengthens defense systems against cyberattacks and identifies potential threats in real-time
- Data-Driven Decision Making: AI analyzes vast datasets to inform strategic decisions in military operations and resource allocation

**Responsibilities**:
As a Senior Fellow, your responsibilities include but are not limited to:

- Work with business leaders to identify problems that can be resolved using artificial intelligence and machine learning technologies
- Actively participate in pre-sales activities to demonstrate our capabilities and relevant use cases and understand client’s needs and problems
- Participate in the Discovery phase of a project to uncover real needs and possibilities, specify in detail the scope of the project, and use domain expertise to propose architecture for solutions
- Provide accurate time and resource estimates for a project and define the major milestones
- Identify potential risks and challenges on a project and how to overcome them
- Propose and participate in the selection of the team for a project
- Communicate and present to the client the progress of projects
- Ensure AI ethics and other SecOps principles are properly implemented on projects
- Contribute to the improvement of Xenon’s assessment and delivery process
- Contribute to developing Xenon’s domain capabilities, content, and competitiveness

**Requirements**:
Required Qualifications
- 8+ years of experience in AI roles or other relevant fields (AI, ML, Data Science)
- Very strong technical skills in technologies relevant to the field, and a deep understanding of underlying concepts and mechanisms (math, algorithms, models, statistics) needed for producing optimal and performant solutions
- Proved experience in scoping, designing, and architecting complex and large-scale solutions, estimating milestones, timeframes, and resources accurately
- Proved experience in leading projects and teams to a successful outcome
- Strong business acumen and ability to influence key stakeholders to make informed decisions
- Strong communication and presentation skills to be able to distill complex information and concepts into clear messages that resonate with clients of various technical backgrounds
- Curious, creative, outgoing personality with wide horizons committed to success and inspired by excellence

Preferred Qualifications
- PhD in Artificial Intelligence domain (highly preferable)
- Background in Research activities and published papers
- Skills in writing domain-specific content e.g. whitepapers, blogs, etc.

**Benefits**
- Work From Home
- Performance Bonus
- Training & Development
- Meet and collaborate with other extremely smart AI-domain Maestros
- Meet and work with CIOs, CTOs, and other important people from big companies
- Work on exciting cutting-edge projects