Solution Architect – AI/Integration Lead
Who We Are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product:
This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading – including stocks, indices, currencies, and digital assets.
The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.
About the Role:
This is a hybrid role where you’ll act as both the architect for complex BizOps initiatives and the leader of the integration engineering team, guiding the implementation of your blueprints and driving hands-on decisions with internal platforms.
You’ll report directly to the Director of BizOps, shaping architecture for AI-first automation, overseeing API and integration patterns, and ensuring alignment across cross-functional domains like security, IT, compliance, trading, and customer support.
This isn’t about maintaining legacy systems. You’ll design new architectures from scratch, define standards, challenge assumptions, and build a reusable platform of services that internal teams can scale on.
Every initiative touches multiple business domains – from R&D to Data to Security. You won’t be siloed into one stack, tool, or domain. You’ll be trusted to make end-to-end architectural calls, balance technical elegance with delivery, and operate as a multiplier across the company.
Key Responsibilities:
Architecture & Design
- Own the technical architecture of internal BizOps platforms – spanning applications, integrations, and automation systems.
- Design scalable, modular solutions that serve diverse business domains (compliance, support, trading, finance).
- Define and evolve the company’s AI architecture: from RAG pipelines and agent orchestration to latency, security, and performance design.
- Build reusable frameworks for APIs, data pipelines, and internal automation – with strong observability and operational hygiene.
- Ensure every design balances delivery speed with long-term scalability and cost-efficiency.
Leadership & Collaboration
- Lead a compact, senior Integration Engineering team – set direction, review architecture, and guide delivery.
- Provide architectural guidance across BizOps squads; coach developers and unblock projects.
- Collaborate cross-functionally with BAs, solution architects, data teams, R&D, and security to align architecture with business needs.
Integration & Data Ownership
- Own architecture and delivery of integrations – internal tools, external APIs, CRM, data lake, and BI pipeline.
- Design integration patterns (event-based, ETL, real-time) that serve business-critical workflows.
- Drive automation and orchestration across teams using data-driven and AI-enhanced designs.
Governance & Continuous Improvement
- Define development standards and architecture review processes across BizOps engineering.
- Ensure security, compliance, and reliability across systems and integrations.
- Bring in new tools, frameworks, or platforms when they accelerate the team’s ability to deliver smarter and faster.
Required Competence and Skills:
- 7+ years designing and owning application or platform architecture across multiple domains.
- Proven experience building and scaling internal or product platforms serving multiple teams or business units.
- Strong hands-on system design capability – able to design practical, production-ready solutions (not just conceptual diagrams).
- Experience in designing and delivering AI-driven systems in production.
- Hands-on experience with LLM-based solutions such as RAG pipelines, agent-based architectures, orchestration, and performance considerations.
- Ability to explain architectural trade-offs in AI systems (latency, cost, reliability, hallucination handling, observability).
- Defined integration architecture patterns across multiple systems or domains (API-based, event-driven, real-time, ETL).
- Comfortable working in integration-heavy environments (CRM, data platforms, internal tools, external APIs).
- Strong understanding of full application lifecycle (backend, frontend, data, testing, orchestration).
- Experience designing systems that support real business workflows (Ops, Finance, Risk, Compliance, Support, etc.).
- Ability to translate business problems into scalable architectural solutions.
- Thrives in fast-moving environments and can bring structure to evolving systems.
- Comfortable balancing delivery speed with long-term scalability and cost-efficiency.
Nice to have:
- Experience in regulated industries (FinTech, compliance-heavy environments).
- Exposure to enterprise platforms (Salesforce, MuleSoft, Databricks, Azure, etc.).
- Experience designing internal developer platforms or AI frameworks.
- Strong build-vs-buy evaluation experience.
Why Us?
We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).
We provide full accounting and legal support in all countries in which we operate.
We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.
We offer a highly competitive package with yearly performance and compensation reviews.
Required languages
| English | B2 - Upper Intermediate |