Lead Data Scientist (Agentic AI + AWS)

Job description

About the Role

In this role, you will define technical direction and lead the delivery of advanced Generative AI and agentic solutions — from multi-agent systems to large-scale NLP pipelines — within SoftServe’s AI and Data Science Center of Excellence, a team of 170+ experts including Data Scientists, ML Engineers, and Architects. You’ll drive innovation, shape AI strategy for world-leading clients, and ensure solutions scale from prototype to measurable production impact.

Responsibilities

- Define and drive technical vision for AI initiatives using the latest generative AI and agentic frameworks, ensuring alignment with business goals and accelerating innovation across cross-functional teams

- Advance agentic AI capabilities by designing and implementing multi-agent systems using LangGraph, CrewAI, or similar frameworks to enable autonomy and real-world problem-solving at scale

- Foster strong client relationships by identifying opportunities, shaping AI strategies, and translating complex technical concepts into impactful, production-ready solutions

- Build and deploy production-ready AI/ML solutions on major cloud platforms (mostly AWS), reducing operational risks and ensuring reliability through close collaboration with MLOps and DevOps teams

- Establish and optimize end-to-end AI development processes — from data pipelines and LLMOps, monitoring, and continuous improvement

- Mentor and guide Data Scientists and ML Engineers, embedding best practices in Generative AI and engineering excellence

- Contribute to thought leadership through technical publications, case studies, and participation in industry events and conferences

Requirements

- Advanced Python proficiency with hands-on experience in using various agentic and GenAI tools such as Copilot or similar

- Strong knowledge of Generative AI and NLP, including transformer models, LLMs

- Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, and familiarity with multi-agent system design and autonomous decision-making patterns

- Familiarity with AWS cloud and its products

- Proven track record of deploying AI/ML solutions to major cloud providers and managing the full ML lifecycle at production scale

- Demonstrated experience leading or mentoring Data Science or ML teams, with the ability to drive technical vision and embed engineering best practices

- Strong client-facing skills, with experience shaping AI strategies and communicating complex concepts to executive and non-technical stakeholders

- Master’s or Ph. D. degree in Computer Science or a related field

- Upper-intermediate or higher proficiency in English, both spoken and written