Requirements

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

Responsibilities

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

SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills
Medical insurance for you and your family
Food vouchers
Extra days off
Dare to Care, our holistic well-being program
Anniversary Program to celebrate your time with us

Lead Agentic AI Consultant