
Lead Gen AI Architect
Honeywell
full-time
Posted on:
Location Type: Hybrid
Location: Phoenix • Arizona • United States
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Job Level
Tech Stack
About the role
- Develop and implement AI and GenAI and Integration strategies that support the company's goals and objectives.
- Design and architect GenAI solutions that integrate with existing enterprise systems.
- Design and architect Integration strategy solutions for existing enterprise systems for Event based, API based and file based integrations.
- Collaborate with cross-functional teams to identify AI & GenAI opportunities and drive innovation.
- Collaborate with cross-functional teams to identify opportunities for transforming/upgrading and modernizing integrations between enterprise applications
- Ensure the scalability, reliability, and security of AI & GenAI and Integration solutions.
- Stay updated with the latest advancements in AI & GenAI and integration technologies and best practices.
- Provide technical leadership and mentorship to the AI and Integration development team.
Requirements
- Minimum 6 years experience in enterprise architecture roles
- Extensive experience in AI and machine learning, with a focus on generative AI.
- Experience in designing and implementing Integrations Solutions using modern IPAAS platforms.
- Strong understanding of enterprise architecture principles and practices.
- Proven track record of designing and implementing GenAI and AI solutions in a business environment.
- Excellent problem-solving skills and the ability to think strategically.
- Strong communication and collaboration skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Industry certifications such as TOGAF, CISSP, or AWS Certified Solutions Architect.
- A demonstrated history of driving digital transformation initiatives.
- Ability to build and maintain strong relationships with team members and stakeholders.
- Exceptional strategic thinking and the ability to translate business requirements into effective technology solutions.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data science and analytics.
- Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, or similar.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIGenerative AIMachine LearningIntegration SolutionsEnterprise ArchitectureCloud PlatformsData ScienceAnalyticsAPI IntegrationEvent-based Integration
Soft Skills
Problem-solvingStrategic ThinkingCommunicationCollaborationTechnical LeadershipMentorshipRelationship BuildingInnovation DrivingAdaptabilityTeamwork
Certifications
TOGAFCISSPAWS Certified Solutions Architect