Senior Manager - AI Platform Lead
Stellar IT Group
Overview: Job Title: Senior Manager - AI Platform Lead Job Location: Remote/ Bolingbrook, IL Interview: Virtual Job Duration: Long Term Contract We are seeking a hands-on AI Platform Architecture Lead to 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
- 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
- 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
- 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
- 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
- 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)
- Bachelor's degree in Computer Science or related field (or equivalent experience)
Vacancy posted 4 days ago
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