automotiveMastermind Inc.
About The Role
As part of our newly formed AI Center of Excellence (CoE), the
AI Architect Lead
will play a critical role in designing and implementing the technical foundation for AI across the organization. This role is ideal for a technically adept leader who can translate business needs into scalable AI solutions, guide infrastructure decisions, and ensure responsible AI deployment.
You’ll work closely with business stakeholders, data teams, and IT to architect the systems and frameworks that will power our AI initiatives—balancing innovation with security, scalability, and compliance.
Grade Level 12
Key Responsibilities
Define and implement the AI technology stack, including tools, platforms, and frameworks.
Architect scalable, secure, and maintainable AI infrastructure to support enterprise-wide use cases.
Evaluate and recommend technologies for model development, deployment, monitoring, and lifecycle management.
Engage in the design and development of AI solutions, ensuring alignment with business goals and technical standards.
Work with business and technical teams, translating requirements into actionable system designs.
Guide integration of AI capabilities into existing systems and workflows, ensuring minimal disruption and maximum value.
Ensure AI systems meet data privacy, security, and compliance requirements.
Collaborate with legal, risk, and data governance teams to embed responsible AI practices.
Establish protocols for model monitoring, versioning, and ethical use.
Stay current on emerging AI technologies and architectural best practices.
Advocate for modern engineering approaches such as MLOps, cloud-native AI, and reusable components.
Mentor internal teams and contribute to building technical AI capabilities across the organization.
Qualifications
Strong experience in solution architecture, data engineering, or AI/ML systems design.
Proven ability to lead technical projects from concept to deployment.
Familiarity with cloud platforms (GCP, Azure), data pipelines, AI frameworks, and agent development tool kits.
Familiarity with prompt engineering and LLM fundamentals.
Understanding of data privacy, security, and compliance in AI contexts.
Excellent communication skills and ability to collaborate across technical and non-technical teams.
Preferred Qualifications
Experience with MLOps, model governance, and AI lifecycle management.
Exposure to Model Context Protocol (MCP), multi‑tool agent and multi‑agent systems.
Background in enterprise architecture or platform engineering.
Exposure to AI ethics, bias mitigation, and responsible AI frameworks.
Compensation/Benefits Information (US Applicants Only)
Base salary range: $120,456 to $207,939. Final base salary based on geographic location and experience.
Eligible for an annual incentive plan.
Eligible to receive additional S&P Global benefits. For more information, visit https://spgbenefits.com/benefit-summaries/us.
Company Information About automotiveMastermind: Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry, leveraging technology to predict sales and support dealers. Headquarters: New York City.
Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or any other status protected by law.
If you need an accommodation during the application process due to a disability, please email: EEO.Compliance@spglobal.com.
Recruitment Fraud Alert Do not respond to any email from a spglobalind.com domain or any other unrelated domain requesting payment. Report suspicious activity to reportfraud@spglobal.com.
EEO Information US Candidates Only: EEO is the Law poster available at http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. Pay Transparency Nondiscrimination Provision at https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf.
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AI Architect Lead
will play a critical role in designing and implementing the technical foundation for AI across the organization. This role is ideal for a technically adept leader who can translate business needs into scalable AI solutions, guide infrastructure decisions, and ensure responsible AI deployment.
You’ll work closely with business stakeholders, data teams, and IT to architect the systems and frameworks that will power our AI initiatives—balancing innovation with security, scalability, and compliance.
Grade Level 12
Key Responsibilities
Define and implement the AI technology stack, including tools, platforms, and frameworks.
Architect scalable, secure, and maintainable AI infrastructure to support enterprise-wide use cases.
Evaluate and recommend technologies for model development, deployment, monitoring, and lifecycle management.
Engage in the design and development of AI solutions, ensuring alignment with business goals and technical standards.
Work with business and technical teams, translating requirements into actionable system designs.
Guide integration of AI capabilities into existing systems and workflows, ensuring minimal disruption and maximum value.
Ensure AI systems meet data privacy, security, and compliance requirements.
Collaborate with legal, risk, and data governance teams to embed responsible AI practices.
Establish protocols for model monitoring, versioning, and ethical use.
Stay current on emerging AI technologies and architectural best practices.
Advocate for modern engineering approaches such as MLOps, cloud-native AI, and reusable components.
Mentor internal teams and contribute to building technical AI capabilities across the organization.
Qualifications
Strong experience in solution architecture, data engineering, or AI/ML systems design.
Proven ability to lead technical projects from concept to deployment.
Familiarity with cloud platforms (GCP, Azure), data pipelines, AI frameworks, and agent development tool kits.
Familiarity with prompt engineering and LLM fundamentals.
Understanding of data privacy, security, and compliance in AI contexts.
Excellent communication skills and ability to collaborate across technical and non-technical teams.
Preferred Qualifications
Experience with MLOps, model governance, and AI lifecycle management.
Exposure to Model Context Protocol (MCP), multi‑tool agent and multi‑agent systems.
Background in enterprise architecture or platform engineering.
Exposure to AI ethics, bias mitigation, and responsible AI frameworks.
Compensation/Benefits Information (US Applicants Only)
Base salary range: $120,456 to $207,939. Final base salary based on geographic location and experience.
Eligible for an annual incentive plan.
Eligible to receive additional S&P Global benefits. For more information, visit https://spgbenefits.com/benefit-summaries/us.
Company Information About automotiveMastermind: Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry, leveraging technology to predict sales and support dealers. Headquarters: New York City.
Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or any other status protected by law.
If you need an accommodation during the application process due to a disability, please email: EEO.Compliance@spglobal.com.
Recruitment Fraud Alert Do not respond to any email from a spglobalind.com domain or any other unrelated domain requesting payment. Report suspicious activity to reportfraud@spglobal.com.
EEO Information US Candidates Only: EEO is the Law poster available at http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. Pay Transparency Nondiscrimination Provision at https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf.
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