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Our client is a prominent, globally recognized professional organization that are investing heavily in AI and building out a dedicated engineering function to lead that effort internally. This is a rare opportunity to own something meaningful at the intersection of enterprise software and applied AI.
Job Responsibility:
Work with a high performing team of engineers focused on the design and development of full stack Machine Learning and Generative AI applications
Drive the end to end delivery of AI powered workflows that modernize and optimize core business processes across the organization
Partner directly with senior leadership on project planning, prioritization, and roadmap execution
Requirements:
Proven experience managing or supervising a software engineering team
Strong Python development background with production grade application delivery
Hands on experience building or deploying ML or GenAI systems
Ability to translate ambiguous business problems into structured technical solutions
Comfortable owning project planning, prioritization, and stakeholder communication
Nice to have:
Experience with LLM frameworks such as LangChain, LlamaIndex, or similar
Familiarity with workflow orchestration tools (Airflow, Prefect, or equivalent)
Background in process automation or enterprise workflow modernization
Exposure to vector databases, RAG architectures, or fine tuning pipelines
Experience working in highly structured or regulated environments where precision and documentation standards are elevated