Associate Managing Consultant, Strategy and Transformation …, St Leonards

Title and Summary Associate Managing Consultant, Strategy and Transformation – Generative AI Engineer / Generative AI Data Scientist Job Summary We are seeking a Technical Consultant who combines robust hands‑on GenAI engineering capability with solid data analytics and data science foundations, and the mindset of a trusted consultant. This is an experienced individual contributor role where you will design, build, and deploy production‑grade Generative AI solutions for enterprise clients, while also contributing to broader data analytics and data science initiatives where GenAI is not always the right answer. You will operate at the intersection of advanced AI engineering, analytical problem‑solving, and client advisory, translating ambiguous business problems into scalable, measurable solutions. You will be expected to contribute and take increasing ownership across the end‑to‑end delivery: from shaping the problem with stakeholders, to building and productionising systems, to supporting adoption and handover – with support from senior team members where needed. The ideal candidate is comfortable switching between LLM‑centric systems and classical analytics/modelling and can communicate confidently with both technical and non‑technical audiences. Key Responsibilities
- End‑to‑end GenAI solution delivery
- Lead the design, development, and deployment of Generative AI solutions using LLMs, agentic designs and multi‑agent systems, taking full ownership of delivery outcomes, timelines, and quality.
- Translate business problems into well‑architected GenAI systems that deliver clear, measurable value.
- Design and implement scalable GenAI systems, including Retrieval‑Augmented Generation (RAG) pipelines, vector‑database integrations, and API‑driven architectures.
- Design systems that balance performance, cost, security, and maintainability in enterprise environments.
- Establish CI/CD pipelines and operational practices for GenAI solutions, ensuring reliability, observability, and cost efficiency.
- Work within cloud‑native environments to deploy and monitor production AI systems.
- Support broader analytics and data science initiatives, including exploratory analysis, descriptive and diagnostic analytics, and predictive modelling where required.
- Apply sound statistical and analytical judgment to complement GenAI‑driven approaches.
- Build interactive demos and lightweight applications to validate ideas, gather stakeholder feedback, and accelerate decision‑making.
- Clearly communicate technical concepts, trade‑offs, and insights to non‑technical stakeholders.
- Act as a trusted advisor to clients and internal teams, helping shape problem statements, success metrics, and solution approaches.
- Collaborate effectively across multidisciplinary teams and contribute to a high standard of consulting delivery.
- Produce clear technical documentation and ensure smooth handover of solutions to permanent teams or client owners. Required Qualifications & Skills
- 4–7 years of professional experience in software engineering, data science, or applied machine learning.
- At least 2 years of hands‑on experience building and deploying Generative AI or LLM‑based solutions in real‑world environments.
- Practical experience working with major LLMs (e.g. GPT, Claude, Llama) via APIs and open‑source frameworks.
- Proven experience designing and optimizing RAG systems using tools such as LangChain or LlamaIndex.
- (Preferred) Understanding of fine‑tuning, prompt engineering, and evaluation techniques, including their trade‑offs.
- Strong ability to analyze large datasets and synthesize insights using Python and modern analytics libraries.
- Experience with descriptive analytics, business intelligence, and applied modelling to inform decision‑making.
- Solid understanding of metrics, benchmarking, and measurement in complex business contexts.
- Advanced Python proficiency and experience with relevant ML/AI libraries.
- (Preferred) Experience with vector databases (e.g. Pinecone, Chroma, Milvus) and embedding models.
- (Preferred) Hands‑on experience deploying solutions on cloud platforms (AWS, Azure, or GCP), including managed AI services.
- (Preferred) Experience building prototypes and simple UIs using tools such as Streamlit, Gradio, Flask, or FastAPI. Front‑end frameworks (React, Vue) are a plus.
- Proven ability to work directly with clients or senior stakeholders.
- Strong sense of ownership, autonomy, and accountability for delivery outcomes.
- Excellent communication skills, with the ability to explain complex ideas clearly and pragmatically.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (preferred). Corporate Security Responsibility
- Abide by Mastercard’s security policies and practices.
- Ensure the confidentiality and integrity of the information being accessed.
- Report any suspected information security violation or breach.
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3qswk5