Job summary
Job post source
This job is directly from Inogen
Job overview
The Sr. AI Architect at Inogen leads the design, development, and deployment of advanced AI solutions including Generative AI, predictive maintenance, and autonomous systems, driving innovation and efficiency across business domains.
Responsibilities and impact
The role involves architecting end-to-end AI systems with a focus on machine learning, deep learning, privacy, and security, collaborating cross-functionally to integrate AI into business workflows, and mentoring junior team members.
Compensation and benefits
The position offers a base salary range of $140,000 to $165,000 annually, an annual bonus, and benefits including medical insurance, vision insurance, and a 401(k) plan.
Experience and skills
Candidates need 12+ years overall experience with 8+ years in AI/ML, expertise in Generative AI models, secure AI deployment on cloud platforms, proficiency in Python, and strong leadership and communication skills.
Career development
The role includes opportunities for leadership, mentorship, and staying current with AI security innovations, supporting professional growth in AI and data privacy fields.
Work environment and culture
Inogen promotes collaboration across product, engineering, and legal teams with a focus on security-by-design and compliance with data privacy laws such as GDPR and CCPA.
Company information
Inogen is an IT services and consulting company focused on innovative AI solutions, emphasizing data security and privacy in its projects.
Team overview
The candidate will work with cross-functional teams including product, engineering, and legal experts, contributing to AI strategy and implementation.
Job location and travel
The job is based in Dallas, TX, with no specific mention of remote work or travel requirements.
Unique job features
This role is distinguished by its focus on secure AI practices, privacy-preserving techniques, and deployment of AI systems across cloud and edge environments.
Company overview
Inogen is a medical technology company specializing in the development, manufacturing, and marketing of portable oxygen concentrators (POCs) for patients with chronic respiratory conditions. They generate revenue primarily through the sale and rental of their POCs, which offer a more convenient and mobile alternative to traditional oxygen therapy methods. Founded in 2001, Inogen has a history of innovation, including the introduction of the first FDA-cleared POC, and has since expanded its product line and global reach. The company's commitment to improving patient quality of life and its strong market presence make it a significant player in the respiratory care industry.
How to land this job
Tailor your resume to highlight deep expertise in AI architecture, especially in Generative AI, autonomous systems, and privacy-preserving machine learning techniques, reflecting the core responsibilities at Inogen.
Emphasize your experience with secure AI deployments, cloud platforms like Azure or GCP, and frameworks such as TensorFlow or PyTorch, ensuring alignment with Inogen's focus on data security and compliance.
Apply through multiple channels including Inogen's official corporate careers page and LinkedIn to maximize your visibility and increase your chances of being noticed by recruiters.
Connect with AI and machine learning professionals at Inogen on LinkedIn; use ice breakers like commenting on recent AI innovations at Inogen or asking about their approach to integrating privacy in AI solutions to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords such as 'Generative AI,' 'privacy-preserving machine learning,' 'secure AI deployment,' 'reinforcement learning,' and 'cloud AI solutions' to ensure your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, find the best application portals, and identify LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and skill enhancement.
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