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 serve as a technical advisor and thought leader for enterprise AI transformations powered by the Nvidia technology stack — designing, validating, and delivering scalable AI architectures — within SoftServe's AI and Data Science Center of Excellence. Working closely with clients, Nvidia stakeholders, and internal engineering teams, you'll drive AI adoption and shape go-to-market solutions that deliver measurable business outcomes.
Responsibilities
- Strategy definition through architecture and implementation
- Translate complex business and operational challenges into AI use-case definitions, solution roadmaps, and reference architectures aligned with client scope
- Support pre-sales activities, including proposals, solution positioning, customer workshops, GenAI proof-of-concept initiatives, and technical discovery sessions
- Design and validate AI architectures leveraging Nvidia technologies, including NeMo, NIM, Triton, Riva, DeepStream, Metropolis, and Omniverse
- Contribute to Nvidia alliance go-to-market strategy by shaping industry offerings, reusable accelerators, demos, and solution blueprints
- Guide organizations on enterprise AI governance, MLOps, model lifecycle management, scalability, observability, and deployment best practices
- Drive thought leadership through whitepapers, technical blogs, conference presentations, demos, and industry events
- Mentor engineering and consulting teams on Nvidia ecosystem technologies
Requirements
- 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning areas
- Hands-on experience with Python and modern AI/ML frameworks, including PyTorch, TensorFlow, Pandas, NumPy, Hugging Face
- Practical experience across the full AI lifecycle, including experimentation, fine-tuning, optimization, deployment, inference, and monitoring
- Experience working with Nvidia AI technologies, including NeMo, NIM, Riva, Metropolis, Omniverse, Triton, or related ecosystem platforms preferred
- Experience designing and deploying AI solutions in at least one cloud environment, like AWS, Azure, GCP
- Understanding of GPU-accelerated AI platforms and inference optimization technologies such as TensorRT, Triton Inference Server, CUDA, DeepStream, ONNX, or similar
- Strong advisory and stakeholder management capabilities with experience presenting to stakeholders, executive, and leadership audiences
- Experience supporting go-to-market initiatives, customer discovery workshops, solution positioning, and technical pre-sales engagements
- Bachelor's or Master's degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred
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
Bulgaria, Poland
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.