AI Lead Engineer

Lineaje is at the forefront of providing robust security management solutions for software supply chains. Our innovative technology offers a comprehensive mapping of software components, revealing dependencies and authenticating the entire chain to prevent security compromises. By ensuring the integrity and security of software supply chains, we empower businesses to operate safely and efficiently in a digital world. Join us in our mission to enhance software security and drive technological advancements in the industry.

Job Summary

We are seeking a visionary and technically adept AI Lead to drive the development and deployment of advanced artificial intelligence solutions within our organization. This pivotal role involves leading AI initiatives, crafting sophisticated AI architectures, and ensuring seamless integration with our existing systems. The ideal candidate will possess deep expertise in AI technologies, with a focus on Python, cybersecurity, supply chain risk management, and software supply chain security.

Key Responsibilities

• AI Strategy and Execution:
• Develop and implement a forward-thinking AI strategy that aligns with the company's business goals and technology roadmap.
• Evaluate and leverage the latest AI advancements to maintain a competitive edge.
• Architectural Design and Integration:
• Design robust, scalable AI architectures tailored to meet specific business needs, with a focus on cloud-native architecture and design patterns.
• Ensure AI solutions can run efficiently in a Federal environment and are FedRAMP authorized, optimizing costs and resources.
• Software Supply Chain Security Management:
• Implement AI solutions to identify, assess, and mitigate risks in the software supply chain.
• Develop strategies to enhance software supply chain security, ensuring the integrity and resilience of our systems.
• Threat Intelligence:
• Utilize AI technologies to enhance threat intelligence capabilities, identifying and responding to cybersecurity threats and vulnerabilities.
• Integrate AI-driven threat intelligence with existing security frameworks to improve threat detection and response times.
• Collaboration with Cybersecurity Teams:
• Work closely with cybersecurity teams to ensure AI solutions align with and enhance existing security systems and protocols.
• Facilitate the integration of AI technologies into cybersecurity strategies, improving overall security posture.
• Project Leadership:
• Manage the entire AI project lifecycle, ensuring strict adherence to timelines and quality benchmarks.
• Data Management and Analysis:
• Collaborate with data teams to ensure high-quality data collection, preprocessing, and analysis for AI projects.
• Develop and enforce data governance policies, ensuring compliance with privacy regulations and standards.
• AI Development and Optimization:
• Spearhead the development of innovative machine learning models using Python and related technologies.
• Implement techniques for AI explainability and transparency to build trust in AI solutions.
• Ethics and Fairness:
• Integrate AI ethics and fairness principles into the design and deployment of AI systems.
• Ensure AI solutions are developed with consideration for human-centered design principles.
• Technology and Tools:
• Utilize containerization technologies like Docker and Kubernetes for efficient AI application deployment and management.
• Apply DevOps/MLOps practices and tools to ensure smooth AI system integration and continuous delivery.
• Employ collaboration tools like Slack, Jira and Teams for effective teamwork and project management.
• Utilize version control systems like Git to manage AI codebases and track changes.
• Innovation and Research:
• Foster a culture of innovation by exploring new AI methodologies and applications relevant to our industry.
• Conduct research and pilot projects to explore the feasibility and benefits of emerging AI technologies.
• Team Leadership and Development:
• Mentor and lead a team of AI engineers and data scientists, fostering an environment of growth and collaboration.
• Identify and address skill gaps through targeted training and development programs.
• Continuous Learning:
• Commit to ongoing learning and professional development to stay current with rapidly evolving AI technologies and trends.

Qualifications

• Education:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. PhD is a plus.
• Experience:
• 8 years of experience in AI/ML development, with a demonstrated history of leading successful AI projects.
• Extensive experience in designing and implementing AI architectures.
• Domain expertise in cybersecurity, supply chain risk management, and software supply chain security.
• Technical Skills:
• Proficiency in Python is essential, with a strong track record of using Python for AI/ML development.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with cloud-native architectures and technologies, including AWS, MongoDB, Open Search, EKS, and Fargate.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Familiarity with DevOps practices and tools for continuous integration and delivery.
• Leadership Skills:
• Proven ability to lead and inspire high-performing technical teams.
• Strong project management skills, with a focus on delivering results in a fast-paced environment.
• Communication Skills:
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences.