[Remote] Manager AI/ML
Note: The job is a remote job and is open to candidates in USA. PTR Global is seeking a Manager, AI Engineering & AIOps Strategy to drive enterprise AI initiatives across a large-scale technology organization. This strategic leadership role will focus on developing AI roadmaps, guiding engineering teams, and establishing governance frameworks to create business value through AI solutions.
Responsibilities
- Define and execute AI, Generative AI, and AIOps roadmaps aligned with business objectives
- Identify opportunities to leverage AI agents, predictive analytics, automation, and GenAI across technology and operations portfolios
- Partner with business and technology leaders to prioritize AI investments and establish execution plans
- Lead the transition of AI solutions from proof of concept to scalable production deployments
- Establish governance frameworks, operating procedures, and success metrics for AI-enabled products
- Guide engineering teams on AI/ML architecture, GenAI applications, RAG solutions, orchestration frameworks, and cloud-native deployments
- Drive MLOps and AIOps best practices, including deployment pipelines, monitoring, observability, and model governance
- Collaborate with Product, Engineering, Data, Infrastructure, and Operations teams to accelerate AI adoption
- Communicate strategy, progress, and business outcomes to executive stakeholders
- Mentor and support technical teams while helping establish scalable delivery and prioritization processes
Skills
- 8+ years of experience in AI/ML, platform engineering, cloud transformation, or technology leadership
- 3+ years leading teams or enterprise AI/ML initiatives
- Experience building AI, GenAI, or machine learning roadmaps and bringing solutions into production
- Strong understanding of MLOps and AIOps, including deployment, observability, governance, and lifecycle management
- Experience working within AWS cloud environments (SageMaker, Lambda, ECS/EKS, S3, Step Functions, or similar services)
- Familiarity with Generative AI technologies, including RAG architectures, AI agents, and orchestration frameworks
- Understanding of APIs, distributed systems, workflow orchestration, and platform enablement
- Experience leading cross-functional initiatives involving business, product, and engineering stakeholders
- Strong communication and executive stakeholder management skills
- Experience leading enterprise AI transformation programs
- Experience establishing AI governance and Responsible AI practices
- Familiarity with AI Centers of Excellence and enterprise operating models
- Experience with modern AI frameworks and deployment ecosystems
Benefits
- Medical
- Dental
- Vision
- 401K contributions
- Any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work
Company Overview