As a Honeywell Forge and AI team senior manager here at Honeywell, you will be responsible for designing and evolving our AI technology landscape for Honeywell Forge products.

This hands-on leadership role will be responsible for shaping our AI ML roadmap, ensuring technical execution and deliverables, overseeing a team through technical leadership and talent management and championing the value of AI both internally and externally.

The ideal candidate will combine deep technical expertise with exceptional communication and mentorship skills.

Collaborating closely with business leaders and technology teams, you'll lead our technical execution towards business goals following industry best practices.

Your insights and expertise will be pivotal in identifying opportunities, addressing challenges, and ensuring the scalability, security, and compliance of our AI solutions.

You will report directly to Director of Artificial Intelligence, and you’ll work out of our Atlanta, Georgia location on a Hybrid work schedule.

Your contributions will be instrumental in driving innovation, addressing complex challenges of our Industrial businesses, driving innovation through partnerships and maintaining the scalability, security, and compliance of our AI technology landscape.

Your role will contribute to our organization's ability to adapt, thrive, and lead in an ever-evolving industry.

Join us, and together, we will set new standards for AI excellence at one of the globe's premier industrial technology companies.

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S.

Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.MUST HAVEMinimum 7 years of experience in machine learning, AI engineering, data science development roles, experience in defining and developing AI/ML solution and at least 3 years in a technical leadership role.

Minimum 3 years of technical development experience, holding data science, machine learning engineer related titles and show clear career progression in this domain Minimum 5 years hands on experience coding with Python, spark, SQL, levering common libraries tensorflow, keras, to solve convention machine learning problems Minimum 2 years of hands on experience building LLM related solutions (RAG, agentic, etc)WE VALUEMaster’s degree in computer science, Statistics, Mathematics, Engineering, or a related quantitative field.

Proven track record of designing, developing, implementing and maintaining enterprise-scale ML solution, LLM based and Agentic AI applications.

Deep understanding of AI/ML frameworks, tools, and platforms (e.g., Azure ML, GCP,  AWS, Databricks), deep understanding of small and large foundational models, fine tuning, reinforcement learning, RAG and agentic applications.

Demonstrated ability to communicate complex technical topics to technical team and executive stakeholders.

Experience in mentoring and developing diverse technical teams.

Exceptional verbal and written communication skills.
KEY RESPONSIBILITIESAI/ML technical execution Work alongside program managers and technical product owners to translate business requirements into technical plans Work with technical teams to design, develop, implement and maintain AI/ML solutions Hands-on development with the team and hands on work with architects to design our solution and optimize implementation strategies Set and enforce best practices in experimental design, model development, documentation, and reproducibility.MLOPS best practices Follow AI/ML, MLOPS and LLMOPS best practices.

Collaborate with data engineering, ML engineering, and IT teams to move models from prototype to production in a reliable, maintainable way.

Define and oversee model monitoring, performance tracking, and retraining strategies.

Ensure solutions meet requirements for security, compliance, and data governance.

Technical Leadership & Mentorship in AIProvide technical guidance and oversight to AI engineers, data scientists and product teams for Honeywell products.

Serve as people leader managing a team of data scientists and AI engineers.

Establish and refine standards, tools, and frameworks for data science work (coding standards, model evaluation, documentation, knowledge sharing).Foster a culture of curiosity, experimentation, and continuous improvement within the team.

Evangelism & Communication Serve as a visible champion for AI/ML initiatives within the organization and with external stakeholders.

Communicate the value and impact of AI/ML projects to non-technical audiences, including senior executives, customers, and partners.

Represent the company at conferences, industry panels, and client briefings as a thought leader in AI/ML.