Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets.
With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.
Role Overview:
Experienced Technical Architect with a strong background in Artificial Intelligence (AI) and data architecture within the investment banking domain. The ideal candidate will have deep expertise in designing and implementing scalable, high-performance data platforms using modern technologies such as MongoDB, Redis, Elasticsearch, and other tools that enable fast data storage, querying, and exposure. This role requires a strategic thinker with hands-on technical skills and a proven track record of delivering enterprise-grade solutions.
Key Responsibilities:
* Architect and design AI-driven data platforms to support investment banking applications and regulatory reporting needs.
* Define and implement data storage, retrieval, and exposure strategies leveraging technologies like MongoDB, Redis, Elasticsearch, and other NoSQL/relational systems.
* Collaborate with business stakeholders, data scientists, and engineering teams to deliver solutions that meet performance, scalability, and compliance requirements.
* Ensure data provenance, integrity, and security across all layers of the architecture.
* Drive innovation in AI integration, including model deployment, inference optimization, and real-time analytics.
* Establish best practices for data architecture, including caching strategies, indexing, and query optimization.
* Provide technical leadership and mentorship to engineering teams.
* Partner with cloud and infrastructure teams to ensure optimal deployment and cost efficiency.
* Maintain compliance with regulatory standards and internal governance frameworks.
Required Skills & Experience:
15+ years of experience in technology organizations, with a strong focus on architecture and enterprise solutions.
* 5+ years in a similar capacity as a Technical Architect, specifically working with:
* MongoDB (schema design, performance tuning)
* Redis (caching, high-speed data access)
* Elasticsearch (search and indexing strategies)
* Other modern data technologies for fast storage and retrieval.
* Strong knowledge of AI/ML integration within enterprise architectures.
* Expertise in data modelling, distributed systems, and microservices architecture.
* Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
* Excellent understanding of data governance, security, and compliance in regulated environments.
* Strong communication and stakeholder management skills.