About Quantiphi

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

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We are seeking a highly experienced Network Subject Matter Expert (SME) to support Telecom clients. The ideal candidate will possess deep, hands-on expertise across all major telecommunications network pillars — IP Core, Transport, and RAN — and will work closely with our technical, data, and client teams to design network data strategies, identify data sources,



and drive end-to-end network data correlation.

This role requires strong technical depth, the ability to simplify and translate complex network concepts, and excellent client-facing communication skills.

Key Responsibilities

1. Network Architecture & Domain Expertise

- Provide expert-level knowledge across IP Core, Transport, and Radio Access Network (RAN) domains.
- Map out the key network components, systems, OSS/NMS platforms, and data flows for each network pillar.
- Advise on best practices for network data extraction, ingestion, and structuring for analytics platforms or data hubs.

2. Network Data Source Identification & Extraction

- Identify all relevant network data sources (e.g., PM/CM/AM data, counters, alarms, logs, traces, flow records).
- Work with engineering teams to define API access, file formats, data structures, and frequency of availability.
- Assist data engineering teams to extract, validate, and ingest data into the Network Data Hub environment.

3. Network Data Correlation & Use-Case Definition

- Lead the creation of data correlation logic across domains (IP ↔ Transport ↔ RAN).
- Help define priority POV use cases, such as:
- Network performance insights
- Fault correlation
- Congestion analysis
- Cross-domain impact analysis
- Predictive maintenance
- Validate and refine business logic, KPI mapping, and network metrics.

4. POV Build Support

- Work with solution architects and data engineers to design the POV architecture.
- Provide domain guidance for data normalization, modeling,



semantic layers, and feature engineering.
- Conduct iterative reviews of outputs and dashboards to ensure network accuracy and alignment with telco best practices.

5. Client Engagement & Communication

- Participate in client workshops, discovery sessions, and technical deep-dives.
- Communicate complex network concepts in a clear, structured, and business-friendly manner.
- Act as the primary Network SME in all client interactions related to network architecture, data sources, and use cases.

Qualifications & Experience

- 10+ years of experience in telecommunications network engineering, planning, or operations.
- Deep understanding of IP Core, Transport, and RAN technologies (4G/5G).
- Solid familiarity with OSS, NMS, EMS, orchestration platforms, and network monitoring tools.
- Experience working with network-related data (KPI, KQI, alarms, counters, logs, CDRs, PCAP traces, etc.).
- Experience with data ingestion, analytics platforms, or data hubs (nice to have but not required to code).
- Proven ability to work with cross-functional teams (data engineering, analytics, product, AI/ML).
- Excellent client-facing communication, workshop facilitation, and documentation skills.
- Ability to start immediately and support a fast-moving POV delivery timeline.

What’s in it for YOU at Quantiphi?

- Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

📌 Network Engineering Consultant (Canada)
🏢 Quantiphi
📍 Canada