Strategic Vision and AI Leadership
* Set and implement the strategic vision for Applied Intelligence's data ecosystem, including data science and engineering.
* Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build‑vs‑buy decisions.
* Work collaboratively with digital teams, senior architects, and stakeholders to design comprehensive AI solutions within the enterprise.
Deliver Real‑World Business Impact
* Drive and implement real‑world solutions into production that drive measurable business value for our clients.
* Work alongside global teams to collaborate and deliver the best solutions for clients.
Grow Your Expertise and Career
* Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on.
* Develop your skills with our world‑class training programmes.
* Drive your career progression through our structured career development programs.
* Align with our industry partners to develop your career and the solutions we deliver for our clients.
Collaborate with Global Brands
* Work with famous brands and household names – no worrying about how to explain what you do to your family again!
* Design reusable assets, solutions and develop best practices for current and future business problems.
* Consult on complex analyses and advanced machine learning methods.
* Communicate and provide guidance to senior client leadership and teams.
* Shape AI Strategy and the delivery of LLM based solutions.
* Operate across multiple industries and functions.
* Develop others by bringing your unique knowledge and skillsets to the wider practice.
Define and Deliver Customer‑Centric Data Strategies
* Translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence.
* Work closely with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations.
* Shape AI strategy and oversee the delivery of LLM‑based solutions that enhance customer and marketing outcomes.
Lead Generative AI Innovation and Prototyping
* Architect early‑stage generative AI initiatives, directing proof‑of‑concept (PoC) and prototype development in collaboration with teams.
* Act as a subject‑matter expert on generative AI, providing guidance to cross‑functional teams including digital, platform, and governance stakeholders.
Deploy and Scale AI Solutions
* Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
* Consult on leveraging cloud platforms like AWS, Azure and GCP to facilitate scalable model deployment.
* Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value.
Ensure Responsible and Ethical AI
* Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment.
* Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives.
Promote Innovation and Best Practices
* Advocate for the adoption of cutting‑edge data technologies and methodologies, including AI‑driven data processing, machine learning pipelines, and automated data integration.
* Design reusable assets, solutions, and develop best practices for current and future business problems.
* Consult on complex analyses and advanced machine learning methods to solve challenging business problems.
Lead Across Industries and Teams
* Operate across multiple industries and business functions to deliver AI‑driven customer and marketing transformations.
* Communicate insights and provide strategic guidance to senior client leadership and internal teams.
* Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.
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