Lead Agentic AI Consultant

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

Responsabilidades: 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

Beneficios: • 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