Enterprise Architect – AI Integration Lead to $9500

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:

• Have 7+ years of technical architecture or engineering leadership across multiple domains.
• Have built internal-facing platforms with integration-heavy environments – CRM, ETLs, APIs, service orchestration.
• Have hands-on experience with AI/LLM tooling – including prompt engineering, RAG, caching strategies, and orchestration.
• Understand how to scale systems used by hundreds or thousands of internal stakeholders.
• Are pragmatic: you can architect in the real world, not just draw boxes and arrows.
• Can guide senior developers through architectural choices, reviews, and delivery roadmaps.
• Can collaborate deeply with business, security, data, and ops teams.

Nice to have:

• Experience with enterprise platforms (e.g. Salesforce, MuleSoft, Databricks, Azure, or similar).
• Designing or consuming internal developer platforms or AI agent frameworks.
• Familiarity with regulated environments (fintech, healthcare, compliance tooling).
• Fluency in build-vs-buy thinking – including working with third-party services.