Job Title: Senior Manager - AI Platform Lead
Job Location:Remote/ Bolingbrook IL
Interview:Virtual
Job Duration: Long Term Contract
We are seeking a hands-onAI Platform Architecture Leadto drive the design evolution and scalability of enterprise AI platforms. This role combines strategic leadership with deep technical expertise in AI/ML cloud architecture and MLOps. You will lead a team of engineers and architects define platform strategy and ensure high performance reliability and compliance across AI systems.
Key Responsibilities
Platform Strategy & Architecture
- Translate enterprise AI strategy into actionable platform roadmaps and technical priorities
- Define end-to-end AI architecture (data pipelines model lifecycle deployment compute)
- Lead build vs. buy decisions tool evaluations and cost/performance optimization
- Design and scale cloud-native AI platforms (GCP Databricks)
- Drive AI/ML/Agentic Ops strategy including tooling standards and automation
Architecture Design & Governance
- Architect core AI/ML platform components (training inference orchestration monitoring)
- Establish best practices standards and governance for AI/ML systems
- Ensure compliance with enterprise architecture security and AI governance requirements
- Implement observability monitoring and continuous training pipelines
Cross-Functional Leadership
- Partner with product data science engineering security and infrastructure teams
- Align platform evolution with enterprise architecture and AI leadership
- Communicate technical strategy to executive stakeholders
Team Leadership
- Lead mentor and grow a team of AI engineers architects and AI Ops specialists
- Drive high engineering standards code quality and scalable design practices
- Own hiring onboarding and talent development
Operational Excellence
- Ensure platform scalability reliability uptime and cost efficiency
- Implement monitoring incident response and continuous improvement processes
- Maintain compliance with responsible AI data privacy and security standards
Required Qualifications
- 10 years in software engineering/architecture; 3 years in leadership roles
- Strong expertise in AI/ML ecosystems MLOps and AI Ops frameworks
- Experience with cloud platforms (AWS Azure GCP Databricks) and CI/CD
- Knowledge of multi-agent architectures (orchestration memory/state observability)
- Proven ability to lead cross-functional teams and deliver enterprise AI solutions
- Strong understanding of security compliance and governance in AI platforms
- Excellent communication and stakeholder management skills (including VP-level)
Education
- Bachelors degree in Computer Science or related field (or equivalent experience)
Required Skills:
Artificial IntelligenceMachine Learningawscloud
Job Title: Senior Manager - AI Platform Lead Job Location:Remote/ Bolingbrook IL Interview:VirtualJob Duration: Long Term ContractWe are seeking a hands-onAI Platform Architecture Leadto drive the design evolution and scalability of enterprise AI platforms. This role combines strategic leadership wi...
Job Title: Senior Manager - AI Platform Lead
Job Location:Remote/ Bolingbrook IL
Interview:Virtual
Job Duration: Long Term Contract
We are seeking a hands-onAI Platform Architecture Leadto drive the design evolution and scalability of enterprise AI platforms. This role combines strategic leadership with deep technical expertise in AI/ML cloud architecture and MLOps. You will lead a team of engineers and architects define platform strategy and ensure high performance reliability and compliance across AI systems.
Key Responsibilities
Platform Strategy & Architecture
- Translate enterprise AI strategy into actionable platform roadmaps and technical priorities
- Define end-to-end AI architecture (data pipelines model lifecycle deployment compute)
- Lead build vs. buy decisions tool evaluations and cost/performance optimization
- Design and scale cloud-native AI platforms (GCP Databricks)
- Drive AI/ML/Agentic Ops strategy including tooling standards and automation
Architecture Design & Governance
- Architect core AI/ML platform components (training inference orchestration monitoring)
- Establish best practices standards and governance for AI/ML systems
- Ensure compliance with enterprise architecture security and AI governance requirements
- Implement observability monitoring and continuous training pipelines
Cross-Functional Leadership
- Partner with product data science engineering security and infrastructure teams
- Align platform evolution with enterprise architecture and AI leadership
- Communicate technical strategy to executive stakeholders
Team Leadership
- Lead mentor and grow a team of AI engineers architects and AI Ops specialists
- Drive high engineering standards code quality and scalable design practices
- Own hiring onboarding and talent development
Operational Excellence
- Ensure platform scalability reliability uptime and cost efficiency
- Implement monitoring incident response and continuous improvement processes
- Maintain compliance with responsible AI data privacy and security standards
Required Qualifications
- 10 years in software engineering/architecture; 3 years in leadership roles
- Strong expertise in AI/ML ecosystems MLOps and AI Ops frameworks
- Experience with cloud platforms (AWS Azure GCP Databricks) and CI/CD
- Knowledge of multi-agent architectures (orchestration memory/state observability)
- Proven ability to lead cross-functional teams and deliver enterprise AI solutions
- Strong understanding of security compliance and governance in AI platforms
- Excellent communication and stakeholder management skills (including VP-level)
Education
- Bachelors degree in Computer Science or related field (or equivalent experience)
Required Skills:
Artificial IntelligenceMachine Learningawscloud
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