Solution Architect – AI Integration Lead to $12000

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.