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The AI Security Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
You will lead and execute core 0-to-1 initiatives in Artificial Intelligence, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive critical milestones to position the department for rapid growth and potential spin-off.
You will lead and execute core 0-to-1 initiatives in Artificial Intelligence and mechanical design. You will translate strategic vision into execution roadmaps and architect scalable solutions from prototype to production.
The AI/ML Architect SME will define and maintain a scalable, modular AI/ML architecture while implementing end-to-end pipelines for data ingestion, model training, and deployment. They will also integrate MLOps best practices and leverage Infrastructure-as-Code to manage cloud-based AI/ML infrastructure in compliance with federal standards.
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The AI/ML Architect SME will define and maintain a scalable, modular AI/ML architecture while implementing end-to-end pipelines for data ingestion, model training, and deployment. They will also integrate MLOps best practices and leverage Infrastructure-as-Code to manage cloud-based AI/ML infrastructure in compliance with federal standards.
The instructor will teach synchronous online courses in AI and machine learning while maintaining accurate student records and compliance with college policies. They are responsible for planning engaging instruction and staying current with industry trends to support student success.
The Engineering Manager will lead a high-performing team to build and scale products while driving technical architecture and engineering decisions. They are responsible for managing the team's performance, ensuring high-quality delivery, and maintaining production reliability.
The Lead Builder will design, configure, and scale intelligent agents and automated workflows using enterprise low-code/no-code platforms. They will also establish governance standards, mentor other builders, and collaborate with business partners to translate requirements into structured AI solutions.
The intern will support the AI team by researching emerging technologies and documenting business requirements for AI initiatives. They will also participate in team meetings and assist in gathering user feedback to support continuous improvement.
The AI Engineer will design and implement production-grade LLM-powered services, including RAG, agents, and microservices. They will also manage MLOps practices, ensure healthcare-grade security, and collaborate with cross-functional teams to deploy AI solutions at scale.
The Governance Lead will oversee AI-related policies and procedures while coordinating with business stakeholders and IT teams. They are responsible for project planning, execution, and ensuring compliance with healthcare industry regulations.
The professor will develop and teach curriculum in software engineering and artificial intelligence while providing academic mentorship to students. Additionally, they will conduct applied research, secure third-party funding, and contribute to the university's academic governance and institutional growth.
The developer will design, develop, and maintain Java-based, cloud-native applications on the Google Cloud Platform. They will also integrate AI-enabled features and collaborate with cross-functional teams to ensure secure, scalable, and reliable software solutions.
Faculty are responsible for facilitating student learning by teaching courses, developing syllabi, and updating course materials in accordance with university requirements. They must also integrate AI technologies into the classroom while providing timely feedback and support to students.
Lead the development of conformity assessment activities for EU AI regulations and represent BSI as a global expert in AI technical forums. Manage internal processes to ensure staff compliance with regulatory obligations and shape the business strategy for AI and machine learning in high-risk sectors.
Design, develop, and maintain web-based and client-server applications to automate budget and programmatic workflows for the VHA Specialty Care Program Office. Lead the full software development lifecycle while integrating COTS solutions and researching emerging AI/ML technologies to improve operational efficiency.
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You will build and deploy production-grade AI services, including agentic workflows, RAG pipelines, and LLM-integrated applications. Additionally, you will design secure API interfaces and implement data-to-insight pipelines to transform unstructured enterprise data into structured models.
You will build and ship LLM-powered applications and AI agent workflows by designing systems for reasoning, planning, and tool use. Additionally, you will develop evaluation frameworks to measure AI quality and optimize systems for performance, latency, and cost.
The Senior Director will lead a team of engineers and researchers to develop and deploy cutting-edge machine learning and AI solutions. They are responsible for defining the strategic roadmap, ensuring cross-functional collaboration, and establishing frameworks for responsible AI and ethics.
You will own the direction of the AI infrastructure, including designing prompts, context management, and retrieval systems. Additionally, you will build rigorous evaluation frameworks and ship end-to-end AI features across the platform.
The Senior Advisor will lead complex, executive-level AI initiatives and partner with C-suite leadership to develop strategic organizational goals. They will also manage project portfolios, mentor staff, and act as a primary representative for external stakeholder engagement.
The Vice President of AI will establish and lead the enterprise AI Center of Excellence to drive strategy, governance, and innovation. They will advise leadership on emerging trends while overseeing responsible AI development and cross-functional collaboration.
This role is responsible for developing and executing AI-driven solutions, including crafting sophisticated prompts and designing advanced agents to enhance operational efficiency. The analyst will collaborate with cross-functional teams to ensure AI models are scalable, compliant, and ethically sound through rigorous testing.
Develop and maintain AI-assisted pipelines for automated documentation generation using self-hosted LLMs and RAG architectures. Collaborate with cross-functional teams to integrate vector search, graph queries, and automated validation scripts to ensure high-quality output.
The role involves researching, developing, and implementing AI and machine learning models to solve business challenges and simulate human intelligence. You will also be responsible for integrating these solutions into existing workflows and maintaining them to ensure performance and alignment with business objectives.
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The Android Software Engineer will build and maintain production-grade mobile applications while integrating AI-assisted capabilities to improve user experience. They will collaborate with cross-functional teams to optimize application performance, scalability, and security across insurance and financial products.
Deliver personalized AI and Machine Learning lessons tailored to student goals and experience. Create engaging learning materials and track progress to maximize learning outcomes.
Teach the Corporate Strategy in AI course to graduate students through asynchronous learning and virtual office hours. Guide students in developing enterprise AI strategies using case studies, simulations, and consulting projects.
Plan and direct the development of AI solutions to improve security detection and response, ranging from classical ML to agentic systems. Lead technical teams, manage the AI roadmap, and partner with cross-functional stakeholders to deliver scalable production-grade AI.
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