Lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise
Job Summary
Lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise.
Define and maintain the blueprint for an Agentic AI ecosystem, including LLMs, RAG, prompt engineering frameworks, MLOps, orchestration tools, and monitoring.
Collaborate with business leaders to translate business needs into AI solutions and present proposals to senior stakeholders.
Matching Summary
Lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise.
Skills & Requirements
Must-have
Agentic AI solutions
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
MLOps, model deployment
agentic AI frameworks (LangChain, CrewAI, AutoGen)
Python, Java programming skills
solution-selling skills
cloud-based AI/ML platforms (AWS, Azure, GCP)
Nice-to-have
enterprise IT transformation
enterprise data platforms
systems integration
Data Science and Machine Learning model development
industry certifications
Key Requirements
Proven experience architecting and implementing enterprise-scale Agentic AI solutions.
Strong expertise in Large Language Models (LLMs) and multimodal models.
Strong expertise with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.).
Excellent programming skills (e.g., Python, Java, or equivalent).
Strong communication and solution-selling skills.
Demonstrated ability to lead and work within multi-disciplinary teams.
Proficiency in English, both written and spoken.
Hands-on exposure to cloud-based AI/ML platforms (AWS, Azure, GCP).
Prior experience in enterprise IT transformation or digital innovation programs.