Technical Skills:

• Combined skills: Python, Langchain, LangGraph, RAG systems, AI Agents, Agentic Frameworks, ScikitLearn, Numpy, Pandas, Gradient Boost models, Ensembles, Reinforcement Learning, LSTMs, Transformers, RlLib, AWS SageMaker, AWS BedRock, NLP, ML pipelines, Docker, Kubernetes, Terraform, FastAPI, PostgreSQL, ReactJS, Redis, GCP, CI/CD (Jenkins, GitHub Actions), Prompt engineering, cross-functional collaboration, mentorship, iterative development, analytics automation, scalable AI framework

• Programming & Libraries Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience using Cursor, Windsurf, Replit, and Github Copilot.

• LLM Expertise Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.

• GenAI & Agentic Frameworks Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration).

• AI Architecture Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems.

• Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labeling and synthetic data generation techniques.

• Vector Databases & Embeddings Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS).

• Advanced AI Concepts Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.

• Software Engineering Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.

• Cloud Platforms Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.

• LLMOps/MLOps Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications.

Leadership & Communication:

• Proven ability to lead and motivate diverse, global teams

• Excellent communication skills, capable of explaining complex AI concepts to various stakeholders

• Strong project and program management skills and experience working in Agile environments

Qualifications:

• Education: Bachelor's degree in computer science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred.

• Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery.

• Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings.

• Consulting Background: Prior experience in technology consulting or a client-facing technical specialist role within a technology provider is highly advantageous.

• Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus.

Additional Considerations:

We seek a leader who excels at translating cutting-edge Generative and Agentic AI capabilities into tangible business value for clients and the organization. The ideal candidate bridges the gap between advanced AI research and practical, robust, scalable, and ethical business applications, possessing both deep hands-on technical credibility and strategic consulting acumen to architect and implement AI solutions at an enterprise scale.

We Offer:

• The opportunity to work on pioneering Generative and Agentic AI projects with a talented, global team.

• A platform to influence AI strategy and adoption for major clients across various industries.

• A competitive salary and comprehensive benefits package.

• A supportive, collaborative, and innovative work environment.

• The chance to be a visible leader and make a significant impact on the future of AI application.