Design enterprise AI architectures supporting network automation, observability, and operational intelligence.
Define data ingestion, processing, enrichment, and analytics pipelines utilizing existing telemetry and logging platforms.
Architect AI and machine learning solutions that improve network health monitoring, anomaly detection, provisioning efficiency, and operational decision-making.
Design agentic workflows and autonomous agents capable of analyzing operational data and recommending or initiating actions.
Develop data models and AI governance frameworks supporting reliable and scalable AI implementations.
Collaborate with network engineering, software engineering, and operations teams to identify high-value AI use cases.
Produce detailed technical designs and implementation guidance for offshore engineering teams.
Establish standards for model evaluation, monitoring, explainability, and performance measurement.
Drive adoption of modern AI, machine learning, and generative AI technologies across the organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

10+ years of experience in AI, machine learning, data science, data engineering, or solution architecture roles.
Strong expertise in Python, data pipeline design, and large-scale data processing.
Experience designing and implementing AI/ML solutions, predictive models, and intelligent automation capabilities.
Hands-on experience with LLMs, AI agents, RAG architectures, and agent orchestration frameworks.
Deep understanding of telemetry, observability, monitoring, and operational data ecosystems.
Experience building scalable data ingestion, enrichment, and analytics pipelines.
Ability to translate business and operational challenges into AI-driven solutions and technical architectures.
Experience creating detailed solution designs and guiding offshore engineering teams through implementation.
Strong communication skills with experience partnering directly with business, engineering, and operations stakeholders.

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AI Architect / Principal Data Scientist - Network Intelligence & Agentic Automation