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

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