Solutions Architect

Descrial; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Office in central London (King's Cross

Competitive compensation

Job summary

Descrial in London is seeking an experienced Solution Architect to bridge client needs with the W-OS platform, leading technical discovery, and designing integration architectures across Java/Spring core and Python AI services. You will spend about half your time with clients, reading code, debugging integrations with engineers, and acting as the trusted technical advisor for client CTOs.

The role emphasizes multi-tenant design, security, observability, and alignment with AWS and CI/CD patterns.

Qualifications

• 5+ years in software or infrastructure roles, including 3+ years in client-facing solution, enterprise or technical architecture
• Strong grasp of REST, cloud (AWS), SaaS multi-tenancy, and security fundamentals
• Hands-on familiarity with Python and/or Java — able to read APIs and debug integration issues with engineers
• Experience scoping or deploying LLM-based capability with enterprise clients, including how success was measured

Responsibilities

• Lead discovery workshops with enterprise clients; translate requirements into integration architectures — APIs, auth, data flows, tenancy
• Design end-to-end solutions combining core W-OS services with agentic/AI capability (LLM features, RAG and knowledge graph over client-approved data, agent workflows)
• Produce architecture diagrams, NFR matrices (security, performance, compliance), and implementation roadmaps that engineering signs up to

Skills

Client-facing solution architecture

REST APIs

Cloud (AWS)

SaaS multi-tenancy

AI governance

Stakeholder management

Education

Bachelor's or master's degree in engineering or computer science

Tools

Python

Java

Job description

Descrial is an AI work-execution platform purpose-built for alternative investment firms and their portfolio companies and securely orchestrates proprietary data, external sources, and workflows. Descrial is an important pillar of Enterprise Intelligence Orchestration (EIO) and enables it by structuring and standardizing data while embedding domain expertise, thereby enabling faster and contextual analysis, broader coverage, and more intelligent decision-making. It is backed by TresVista's 1,800+ employees and deep domain expertise across investment diligence, research, valuation, fund administration, accounting, and data analytics. The team is small, senior, high-ownership, and in-office, with direct access to the Executive Committee.

OVERVIEW

As a Solution Architect, you will bridge customer needs and platform capability: designing how W-OS — including its agentic and AI services — lands inside sophisticated investment firms. You will lead technical discovery with clients, design integration architectures across the Java/Spring core and Python AI services, and own the trade-offs that make enterprise deployments repeatable rather than bespoke. This is an engineering-side role that spends roughly half its time with clients: you will not write production features, but you will read code, debug integrations with engineers, and be the person a client CTO trusts in the room.

ROLES AND RESPONSIBILITIES

Solution and integration design

• Lead discovery workshops with enterprise clients; translate requirements into integration architectures — APIs, auth, data flows, tenancy
• Design end-to-end solutions combining core W-OS services with agentic/AI capability (LLM features, RAG and knowledge graph over client-approved data, agent workflows)
• Produce architecture diagrams, NFR matrices (security, performance, compliance), and implementation roadmaps that engineering signs up to

Evaluation and governance

• Design how a client will know the system is working on their data: acceptance criteria, golden examples drawn from their own corpus, and the accuracy bar agreed before go-live
• Set agent governance with the client: autonomy levels, approval workflows, action audit trails, and who is accountable when an agent acts
• Advise clients and internal teams on appropriate LLM use — RAG vs fine-tuning vs agents — and set honest expectations on limitations and governance

Delivery and advisory

• Ensure designs respect multi-tenant isolation, auditability, and observability standards, and align with AWS and CI/CD patterns
• Support pilots and production cutovers; identify risks (data residency, latency, model behaviour) with mitigations that hold
• Contribute to technical pre-sales and PoC scoping, and turn one-off solutions into repeatable patterns the next deployment can reuse

WHO YOU ARE

Prerequisites

• 5+ years in software or infrastructure roles, including 3+ years in client-facing solution, enterprise or technical architecture
• Strong grasp of REST, cloud (AWS), SaaS multi-tenancy, and security fundamentals
• Hands-on familiarity with Python and/or Java — able to read APIs and debug integration issues with engineers
• Experience scoping or deploying LLM-based capability with enterprise clients, including how success was measured
• Excellent client-facing communication and stakeholder management

Good to have

• Private equity, investment, or financial-services workflow domains
• Enterprise data-governance experience, including AI governance conversations with regulated buyers
• AWS Solutions Architect or comparable certification
• You build with AI coding tools daily (Cursor, Claude Code or comparable) and have a considered view of where they help and where they do not

EDUCATION

Bachelor's or master's degree in engineering, computer science, or a related field, or equivalent experience.

WHAT WE OFFER

• You will be working closely with the Executive Committee who have over 20 years of experience in leading a company with 400+ leading clients in the alternative investment space
• Competitive compensation
• Opportunity to build something impactful for established and leading companies in the financial services industry
• Innovative, supportive, and collaborative work environment
• Office in central London (King's Cross)

HOW WE HIRE

• Stage 1: Introductory conversation
• Stage 2: Technical assessment
• Stage 3: Interview with a senior member of the team
• Stage 4: Final interview with a member of the Executive Committee