Flexible Work Model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
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, 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 model training to LLMOps, monitoring, and continuous improvement
- Mentor and guide Data Scientists and ML Engineers, embedding best practices in Generative AI, MLOps, 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 PyTorch or TensorFlow for model development, training, and large-scale experimentation
- Strong knowledge of Generative AI and NLP, including transformer models, LLMs (GPT-4, Claude, Gemini), and fine-tuning methodologies for domain-specific applications
- Experience with agentic AI frameworks such as LangGraph or CrewAI, as well as knowledge of multi-agent system design and autonomous decision-making patterns
- 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
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
Role Summary
Location
Mexico, Colombia, Chile
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Data Science
Tech level
Lead
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.