We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice.
The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units.
Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation
Develop and drive the AI strategy aligned with business goals
Lead the assessment prioritization and roadmap planning of AI initiatives across business units
Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions
Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines
Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles
Mentor AI team members to build internal capabilities and support knowledge sharing
Track AI trends tools and emerging technologies to support continuous improvement and innovation
Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes
Champion AI adoption through workshops demos and enablement sessions
Define and track KPIs adoption metrics and ROI frameworks for AI initiatives
Establish AI governance frameworks usage policies and guardrails for responsible AI adoption
Guide the evolution toward an Agentic SDLC model across software development workflows




Drive change management activities to support AI augmented and agent orchestrated ways of working
7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities
Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps
Experience driving AI initiatives from ideation through design and implementation in enterprise environments
Experience working with clients and executive leadership to translate business needs into AI solutions
Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines
Understanding of AI ethics data privacy and responsible AI principles
Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption
Familiarity with AI governance frameworks and organizational policy development for responsible AI use
Understanding of Agentic SDLC methodologies and AI native delivery practices
Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience
Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer
Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services
Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI
Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines
Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack
Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN

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📌 Senior AI Lead with LLM and RAG (Ejido de la Finca)
🏢 DataArt
📍 Ejido de la Finca