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# Data Scientist Lead - Gen AI/Network Services

- **Company:** SoftServe, Inc.
- **Location:** Braddock, PA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Network Architecture, Network Service, Computer Network Operations, Large Language Models, AI Platforms, Data Analytics, Machine Learning Operations, Virtual Agents
- **Published:** September 16, 2026
- **Apply:** https://www.disabledperson.com/jobs/75228710-data-scientist-lead-gen-ai-network-services

## About the Role

* Strong experience in AI-enabled transformation, product delivery, or enterprise change leadership
 * Experience delivering AI or data-driven solutions from idea to implementation and adoption
 * Experience with Agentic AI solutions, preferably for infrastructure or operations teams
 * Good understanding of AI agents, LLMs, MCP, MLOps, and data / platform architecture
 * Background in network infrastructure, network operations, or enterprise infrastructure environments
 * Experience working in large, matrixed organizations with multiple stakeholders
 * Understanding of governance, risk, compliance, and control requirements
 * Strong communication, stakeholder management, and influencing skills
 * Ability to define KPIs, business outcomes, and value realization measures
 * Experience in financial services or another regulated industry would be a plus

## Description

We are looking for a Data Scientist Lead - Gen AI - Network Services for a large global financial services organization.

The role is focused on driving responsible AI adoption across Network Services, including AI use case intake, prioritization, delivery coordination, governance, and value realization. The person will work closely with infrastructure teams, business stakeholders, and central AI teams to identify AI opportunities, support execution, and ensure measurable business outcomes.

Responsibilities

 * Lead AI demand intake and prioritization across Network Services
 * Assess AI use cases based on business value, feasibility, data readiness, and risk
 * Coordinate delivery of AI capabilities across business, technology, and central AI teams
 * Ensure AI governance, compliance, and risk processes are followed
 * Support adoption of approved enterprise AI platforms, tools, and reusable patterns
 * Track success metrics, adoption, value, risks, and delivery progress
 * Maintain visibility of the AI portfolio, including use cases, owners, dependencies, and status
 * Support AI capability building within infrastructure and network teams
 * Help drive continuous improvement of AI solutions based on feedback and outcomes
 * Provide support for AI solutions in production together with SMEs


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