Description

Job Description:
• 5+ years of Artificial Intelligence Solutions experience
• 5+ years of experience in product management, solution management, program delivery, or technical product ownership, with a focus on Gen AI, AI/ML platforms, APIs, and/or cloud-native solutions
• 4+ years of experience across the Gen AI, AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls
• 2+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift)
• Excellent communication and executive presence, with the ability to influence senior stakeholders and translate complex technical concepts into clear, actionable insights
• Proven success operating in large enterprise environments—preferably within regulated industries—and building platforms and capabilities at scale
• Experience with MLOps and LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt/chain/versioning, evaluation frameworks, guardrails, and monitoring
• Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, and large-scale distributed model execution platforms (e.g., NX1 or equivalent)
• Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture
• Strong technical depth, with the ability to dive into APIs, SDKs, security controls, data contracts, and performance and reliability considerations
• Strong negotiation, stakeholder engagement, and cross-functional leadership skills, with a track record of driving alignment and execution across teams

Key Skills

Education

Any Graduate