At a Glance
- Tasks: Architect scalable platforms integrating data engineering with GenAI and AI capabilities.
- Company: Join Kearney Activate, a leader in digital transformation and innovation.
- Benefits: Competitive salary, global learning programs, and inclusive work culture.
- Why this job: Shape the future of AI and data architecture while driving real business impact.
- Qualifications: Experience in designing GenAI architectures and leading technical teams.
- Other info: Be part of a diverse team focused on solving critical challenges.
The predicted salary is between 80000 - 100000 £ per year.
Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). Drive data quality through embedded validation, monitoring, and automated reporting frameworks. Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence. Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes.
Technologies & Concepts
- Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2
- AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies
- Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability
- Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments
Your Profile
- Proven experience designing and scaling GenAI-enabled and data-driven architectures.
- Strong grounding in software engineering principles and AI/ML enablement.
- Demonstrated ability to lead, mentor, and grow cross-functional technical teams.
- Track record of delivering innovative, scalable solutions that drive clear business value.
- Exceptional communication skills.
- Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.
Why Join?
- Strategic Impact – Shape the commercial growth engine of one of Kearney’s fastest-growing digital businesses.
- Collaborative Ecosystem – Work with top technology partners and world-class consulting teams.
- Growth & Development – Access Kearney’s global learning programs and partner certifications.
- Culture – Join a hands-on, high-energy, and inclusive environment focused on innovation and impact.
- Purpose – Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation.
Equal Employment Opportunity and Non-discrimination: Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission-critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
Data & AI Solution Architect - Kearney Activate employer: Kearney Italia, Inc.
Contact Detail:
Kearney Italia, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Solution Architect - Kearney Activate
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to data engineering and AI. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data architecture and AI solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a community that values innovation and collaboration.
We think you need these skills to ace Data & AI Solution Architect - Kearney Activate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with GenAI and data-driven architectures. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills: Since exceptional communication is key for this role, use your application to demonstrate how you can convey complex ideas clearly. We love seeing candidates who can articulate their thoughts effectively, so let your personality shine through!
Highlight Leadership Experience: If you've led teams or mentored others, make sure to mention it! We’re looking for someone who can grow a high-performing team, so share examples of how you've fostered collaboration and innovation in your past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Kearney Italia, Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PySpark, Python, and SQL. Brush up on your understanding of RAG pipelines and in-context learning techniques, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading and mentoring teams. Think about specific instances where you fostered innovation or collaboration, as this aligns with what they’re looking for in a candidate.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss real-world challenges you've faced and how you applied AI and data architecture to solve them. This will show your practical application of knowledge and your ability to drive business value.
✨Communicate Clearly and Confidently
Exceptional communication skills are a must for this role. Practice articulating your thoughts clearly, especially when discussing complex technical concepts. This will help you connect better with the interviewers and demonstrate your fit for the collaborative environment.