Job summary
Job post source
This job is directly from Kinect
Job overview
The AI Solutions Architect at Kinect leads the design and deployment of advanced AI solutions, driving AI strategy and ensuring scalable, secure implementations aligned with business needs.
Responsibilities and impact
The role involves architecting AI/ML solutions, collaborating with teams to gather requirements, leading AI solution implementation, ensuring data governance compliance, building prototypes, providing technical leadership, and contributing to AI strategy and automation opportunities.
Experience and skills
Candidates must have a Bachelor's or Master's in a related field, 5+ years in AI/ML development with 2+ years in architecture or leadership, proficiency in AI/ML frameworks and Python, experience with cloud platforms and MLOps, and strong communication skills; preferred qualifications include LLM tuning, AI agents, DevOps tools, certifications, and industry experience.
Unique job features
This role focuses on cutting-edge AI coding augmentation tools and generative AI solutions, involving real-world deployments and cloud-native AI platforms.
Company overview
Kinect is a technology company specializing in motion-sensing input devices, primarily known for its Kinect sensor used in gaming and interactive applications. Originally developed by Microsoft for the Xbox gaming console, Kinect has evolved to include applications in healthcare, education, and robotics. The company generates revenue through hardware sales, licensing its technology, and partnerships with developers who integrate Kinect's capabilities into their products. Important history includes its launch in 2010, its impact on gaming with gesture-based controls, and its subsequent adaptation for various industries beyond entertainment.
How to land this job
Position your resume to highlight your expertise in designing and deploying scalable AI/ML solutions, emphasizing your leadership in architecture and technical strategy at Kinect.
Focus on showcasing hands-on experience with AI frameworks like TensorFlow, PyTorch, and proficiency in Python, alongside cloud platforms such as AWS, Azure, or GCP, reflecting the job's core requirements.
Apply through multiple platforms including Kinect's corporate careers page, LinkedIn, and specialized AI job boards to maximize your application visibility.
Connect with Kinect's AI and cloud infrastructure teams on LinkedIn; initiate conversations by referencing recent Kinect AI projects or expressing enthusiasm about their use of generative AI and AI coding augmentation tools.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI Solutions Architect,' 'machine learning frameworks,' 'cloud-native AI tools,' 'MLOps,' and specific technologies like 'TensorFlow' and 'Azure AI Studio' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application channels, and find relevant Kinect contacts on LinkedIn, freeing you to focus on interview preparation and skill enhancement.
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