Provide hands-on technical guidance in AI/ML architecture decisions, technology selection, and implementation strategies to ensure optimal product performance.
Lead and guide a cross-functional team of AI/ML engineers, data scientists, and product managers in delivering strategic AI products from concept to market.
Facilitate business discovery sessions to uncover AI use cases, assess feasibility, and prioritize product development based on business impact and technical considerations.
Guide the team through agile product development processes while maintaining focus on business outcomes, technical excellence, and delivery timelines.
Mentor and develop team members in AI/ML technologies, architectural principles, and business acumen to build organizational AI capabilities.
Partner directly with business units to identify AI opportunities, conduct needs assessments, and collaborate on translating business requirements into viable AI product solutions.
Provide technical guidance and architectural oversight to ensure AI products are well-architected, scalable, and built using best practices and latest technologies.
Partner with business stakeholders to define product success metrics, validate market fit, and ensure AI products deliver measurable business value and ROI.
Requirements
solution architect
15 yrs
llms
ai/ml
master's
leadership
Ability to quickly learn, understand, and work with new emerging technologies, methodologies and solutions, including leading a team of AI/ML experts.
15 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment
5 years of experience with Large Language Models (LLMs), Agentic frameworks, Agentic workflows, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
Ability to lead cross-functional teams and deliver end to end solutions
Master's degree in Computer Science or a related technical field.
Bachelor's degree in Computer Science or equivalent practical experience.
5 years of experience with AI products, technologies, and infrastructure.
Experience building AI and ML solutions and operation frameworks and leveraging specific ML architectures.
Understanding of AI Models, Large Language Models, AI agents, AI Agentic workflows, AI specialized infrastructure, and responsible AI practices.
Experience architecting and developing software or infrastructure for scalable, distributed systems with ML technologies.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
1885
Year Founded
Pioneered the electric thermostat and launched the building controls industry.
2016
Year of Merger
Merged with Tyco International, expanding into fire protection and security.
$26.8B
Annual Revenue
Generates revenue across four global business segments.
Record Backlog
Project Demand
Maintains a strong backlog of digital and infrastructure projects.
Pioneered the electric thermostat, launching the building controls industry.
Evolved into a global leader in smart building systems through over a century of innovation.
Typical projects range from HVAC installations to integrated smart systems in hospitals, airports, stadiums, and data centers using their OpenBlue digital platform.
Expertise covers HVAC, fire detection and suppression, security systems, energy management, and facility services.
Earned LEED Platinum certification for its North American headquarters and supplied smart systems to landmarks like Burj Khalifa and Taipei 101.
Culture + Values
N/A – Johnson Controls does not publish an official list of culture or values under standardized headings on its public website or LinkedIn.
Environment + Sustainability
43.8% reduction
Emissions reduction
Reduced Scope 1 & 2 emissions by 43.8% since 2017 toward a 55% target by 2030.
56% reduction
GHG intensity
Achieved a 56% reduction in GHG intensity since 2017.
56% renewables
Global electricity
56% of global electricity was matched by renewables in 2024.
25% sites landfill-free
Manufacturing sites
23 manufacturing sites (25%) achieved zero-landfill in 2024.
Inclusion & Diversity
Double women leaders by 2026
Global Leadership Diversity Target
Aim to double women leaders globally and minority leaders in the U.S. within five years, initiative launched in 2021.
>100k global workforce
Community Volunteering Impact
Engaged global workforce of over 100,000 across 150+ countries, contributing over 61,000 volunteer hours in 2023.
Includes diversity targets in senior leaders’ performance metrics tied to compensation.
Partnerships with HBCUs to develop next-gen sustainable building leaders through scholarships and education initiatives.
Increased spend with women- and minority-owned businesses as part of supplier sustainability and inclusion goals.