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\n The Applied AI Application Senior Professional is a pivotal technology role responsible for defining the direction of AI applications, engaging in advanced AI innovation initiatives, and ensuring the successful deployment of AI solutions at scale within the Fire/Life Safety domains. This individual will combine deep technical expertise with strong mentoring skills to help teams, collaborate with stakeholders, and deliver transformative AI-powered applications across embedded and cloud technologies.\n

Key Responsibilities:

\n Strategic Direction:\n

Deliver AI-enabled applications to customers within the European region.

Co-define and drive the long-term vision and strategy for AI applications that span edge devices to cloud, aligning with the company’s business objectives.

Stay ahead of industry trends and identify opportunities for AI to create competitive advantages.

Champion the adoption of AI technologies across the organization, ensuring alignment with ethical and regulatory standards.

\n Technical Excellence:\n

Lead the design, development, and deployment of cutting-edge AI applications, ensuring scalability, reliability, and performance.

Oversee the selection and implementation of AI/ML models, algorithms, and frameworks to solve complex business problems that span embedded devices and cloud.

Provide technical guidance and mentorship to AI engineers, data scientists, and cross-functional teams.

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Co-drive innovation by exploring and prototyping new AI technologies, tools, and methodologies.

Collaborate with research institutions, industry experts, and external partners to stay at the forefront of AI advancements.

Publish white papers, case studies, or research findings to contribute to the AI community and enhance the company’s reputation.

\n Stakeholder Collaboration:\n

Partner with leadership, product managers, and business units to identify high-impact AI opportunities.

Communicate complex AI concepts and project outcomes to non-technical stakeholders, ensuring buy-in and support.

Build strong relationships with external partners, vendors, universities, and customers to drive AI adoption and innovation.

\n Project & Team Leadership:\n

Deliver AI projects as part of cross-functional teams, on time and within budget, ensuring high-quality outcomes.

Foster a culture of collaboration, innovation, and continuous learning within the AI team.

Help manage resource allocation, budgeting, and risk mitigation for AI initiatives.

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Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related field.

\n Experience:\n

10+ years of experience in AI/ML, with at least 5 years in a senior leadership or principal role.

Proven track record of designing, developing, and deploying AI applications at scale in production environments that use embedded devices.

Extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java, Scala).

Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP) and AI/ML services and embedded frameworks for deploying analytics to constrained devices.

Experience delivering AI-enabled products in regulated environments.

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Exceptional problem-solving and analytical skills, with the ability to tackle complex, ambiguous challenges.
Strong educational abilities, with a focus on coaching high-performing teams.
Excellent communication skills, with the ability to influence at all levels of the organization.
Familiarity with Agile methodologies, DevOps practices, and project management tools.

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Experience in safety-critical industries such as healthcare or life safety.
Knowledge of ethical AI practices, regulatory compliance, and responsible AI frameworks.
A strong publication record or contributions to the AI/ML community (e.g., research papers, open-source projects).

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Key Responsibilities:

\n Strategic Direction:\n

Deliver AI-enabled applications to customers within the European region.

Co-define and drive the long-term vision and strategy for AI applications that span edge devices to cloud, aligning with the company’s business objectives.

Stay ahead of industry trends and identify opportunities for AI to create competitive advantages.

Champion the adoption of AI technologies across the organization, ensuring alignment with ethical and regulatory standards.

\n Technical Excellence:\n

Lead the design, development, and deployment of cutting-edge AI applications, ensuring scalability, reliability, and performance.

Oversee the selection and implementation of AI/ML models, algorithms, and frameworks to solve complex business problems that span embedded devices and cloud.

Provide technical guidance and mentorship to AI engineers, data scientists, and cross-functional teams.

\n Innovation & Research:\n

Co-drive innovation by exploring and prototyping new AI technologies, tools, and methodologies.

Collaborate with research institutions, industry experts, and external partners to stay at the forefront of AI advancements.

Publish white papers, case studies, or research findings to contribute to the AI community and enhance the company’s reputation.

\n Stakeholder Collaboration:\n

Partner with leadership, product managers, and business units to identify high-impact AI opportunities.

Communicate complex AI concepts and project outcomes to non-technical stakeholders, ensuring buy-in and support.

Build strong relationships with external partners, vendors, universities, and customers to drive AI adoption and innovation.

\n Project & Team Leadership:\n

Deliver AI projects as part of cross-functional teams, on time and within budget, ensuring high-quality outcomes.

Foster a culture of collaboration, innovation, and continuous learning within the AI team.

Help manage resource allocation, budgeting, and risk mitigation for AI initiatives.

Qualifications:

\n Education:\n

Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related field.

\n Experience:\n

10+ years of experience in AI/ML, with at least 5 years in a senior leadership or principal role.

Proven track record of designing, developing, and deploying AI applications at scale in production environments that use embedded devices.

Extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java, Scala).

Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP) and AI/ML services and embedded frameworks for deploying analytics to constrained devices.

Experience delivering AI-enabled products in regulated environments.

\n Skills:\n

Exceptional problem-solving and analytical skills, with the ability to tackle complex, ambiguous challenges.
Strong educational abilities, with a focus on coaching high-performing teams.
Excellent communication skills, with the ability to influence at all levels of the organization.
Familiarity with Agile methodologies, DevOps practices, and project management tools.

\n Preferred Qualifications:\n

Experience in safety-critical industries such as healthcare or life safety.
Knowledge of ethical AI practices, regulatory compliance, and responsible AI frameworks.
A strong publication record or contributions to the AI/ML community (e.g., research papers, open-source projects).

Full time
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Applied AI Application Senior Professional

Honeywell

Description

Take your next career step