Note: The job is a remote job and is open to candidates in USA. SoftServe is a global IT consulting and digital services company serving organizations across multiple industries. The Lead Data Scientist will drive responsible AI adoption across Network Services by prioritizing use cases, coordinating delivery, ensuring governance, and tracking business value. The role also supports AI capability building and production solutions across infrastructure and network teams.
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
Skills
- 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
Benefits
- Work from home, from the office, or in a hybrid format that supports focus and collaboration.
- Health coverage
- Paid time off
- Wellness support
- Learning opportunities
- Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
- Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.
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