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Leads the end-to-end development, productization, deployment, and lifecycle management of AI, ML, GenAI, and agentic AI solutions for autonomous network operations. Owns AI product roadmaps, architectures, MLOps, adoption metrics, customer value, and scalable deployment frameworks. Partners with customers, product and engineering teams, mentors AI professionals, and drives innovation across telecommunications networks, including 5G, 6G, RAN, Core, Transport, and OSS/BSS.

Lead Ericsson’s New Zealand key account strategy, sales growth, executive customer relationships, delivery governance, account profitability, forecasting, and cross-functional collaboration. Manage national and government accounts, develop business opportunities, maintain market intelligence, and lead a high-performing team through dotted-line relationships. The role requires deep telecommunications knowledge, consultative sales expertise, commercial acumen, and strong stakeholder leadership.

Participate in system studies focused on 5G Core, 6G evolution, and end-to-end network capabilities. Analyze technology trends, customer needs, and business priorities; contribute to requirements, architecture options, standardization, and technical recommendations. Explore mobility, IoT, edge, roaming, QoS, and resilience scenarios while assessing performance, security, operations, and lifecycle impacts. Collaborate with research, product, development, and customer teams, use AI-assisted methods responsibly, support root-cause analysis, and contribute to innovation workshops and future technical leadership.

Owns infrastructure product direction and delivery by shaping roadmaps, prioritizing technical backlogs, defining acceptance criteria, and guiding Agile teams. Collaborates with product managers, architects, customers, vendors, and delivery leaders on planning, risks, security, licensing, compliance, budgets, and continuous improvement. Requires strong technical product ownership experience, Agile/SAFe knowledge, cloud and infrastructure familiarity, stakeholder leadership, and backlog management skills.

Design, deploy, and operate Ericsson CNIS-based infrastructure for 5G core workloads. Manage Kubernetes clusters (RKE2/kubeadm), configure CNIs/CSI, operate Rook/Ceph storage, onboard and troubleshoot CNFs, configure networking (BGP/VLAN/VXLAN), integrate authentication (LDAP/Keycloak), and implement observability with Prometheus/Grafana and logging stacks. Produce RCA and ensure HA, resilience, and security.

Supports the configuration, integration, migration, testing, and verification of systems, networks, APIs, and data flows. Develops automation scripts, primarily in Python, and explores AI/ML, generative AI, RAG, and agent-based solutions for engineering workflows. Assists with pre-sales analysis, troubleshooting, documentation, quality improvements, and post-project activities while collaborating with experienced engineers.

Develops and performs system verification activities for Radio Access Network solutions at Ericsson in Ottawa. The posting provides compensation and benefits information but does not specify detailed responsibilities or qualification requirements.

Coordinates daily Accounts Payable and purchasing activities across US and international entities. Reviews vendor data, purchase requisitions, purchase orders, invoices, and reconciliations; prepares KPI reporting and supports the annual 1099 process. Guides team members, resolves purchasing issues, improves processes, monitors deliverables, and collaborates with Finance, Procurement, and business stakeholders. The role also supports onboarding, training, financial analysis, controls, and ad hoc projects.

Owns RAN software upgrades, configuration changes, change planning, rollback procedures, post-upgrade validation, KPI monitoring, and troubleshooting for Nokia and Ericsson networks. Coordinates with NOC, field engineering, RF, software teams, and vendors to meet service targets while minimizing outages. Maintains documentation, runbooks, change records, and backup plans; provides training and recommends configuration or process improvements to enhance network stability and service quality.

Develop and evaluate a proof-of-concept AI-assisted tool that compares production test results for radio products against requirements. Responsibilities include extracting and reconciling specifications, detecting deviations, combining AI interpretation with deterministic checks, creating test cases, providing source traceability, evaluating accuracy and false findings, and documenting results. The project is conducted with Ericsson engineers and is suitable for one or two Master's students.