Lead Agentic AI Consultant, REMOTE

• 6+ years of experience in AI consulting, GenAI/Agentic AI development, Machine Learning, and Deep Learning areas
• Strong expertise in Generative/Agentic AI
• Hands-on experience with Python and modern AI/ML ecosystems, including PyTorch, TensorFlow, Pandas, NumPy, Hugging Face, LangChain, LangGraph, Semantic Kernel, or similar agentic AI frameworks
• Experience designing and developing AI agents, multi-agent systems, orchestration workflows, and autonomous AI applications using Python-based agentic frameworks and cloud-native AI services
• Practical experience implementing RAG pipelines, tool calling, function orchestration, memory management, vector databases, and AI workflow automation
• Practical experience across the full AI lifecycle, including experimentation, fine-tuning, optimization, deployment, inference, and monitoring
• Strong advisory and stakeholder management capabilities with experience presenting to stakeholders, executives, and leadership audiences
• Experience supporting go-to-market initiatives, customer discovery workshops, solution positioning, and technical pre-sales engagements
• Understanding of enterprise architecture, cloud computing, distributed systems, Big Data, SDLC, MLOps, and AI governance practices
• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Physics, Engineering, or related technical field preferred
• Strong communication, collaboration, analytical, and problem-solving skills

In this role, you will serve as a trusted advisor and technical leader for enterprise-scale AI transformations — designing, validating, and delivering agentic AI solutions — within SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts. Partnering with world-leading clients, hyperscaler alliances, and cross-functional teams, you'll accelerate AI adoption and shape production-ready AI ecosystems that drive measurable business value.

,[Lead AI engagements from discovery and strategy definition through architecture and implementation, ensuring delivery of production-ready agentic AI ecosystems at enterprise scale, Translate complex business and operational challenges into AI use-case definitions, solution roadmaps, and reference architectures that align with client objectives, Design and validate AI architectures leveraging cloud platforms — including AWS (Bedrock, SageMaker, AgentCore), Azure (Azure OpenAI, AI Foundry, Azure ML), and GCP (Vertex AI, Gemini, ADK), Support pre-sales activities, including proposals, solution positioning, GenAI workshops, proof-of-concept initiatives, and technical discovery sessions, Guide organizations on enterprise AI governance, MLOps, model lifecycle management, scalability, observability, and deployment best practices, Mentor engineering and consulting teams on cloud AI ecosystems, agentic AI frameworks, and emerging technologies, Drive thought leadership through whitepapers, technical blogs, conference presentations, and participation in industry events] Requirements: AI, Machine Learning, Deep learning, Python, PyTorch, TensorFlow, pandas, NumPy, Stakeholder management, Enterprise Architect, Cloud computing, Big data, SDLC, MLOps, Degree Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.