Solution Architect

The Opportunity

At BearingPoint, we deliver software solutions that support and drive our clients' digital transformation. We use modern tools and techniques to create secure, scalable and innovative solutions for the organisations and people who depend on them.

Artificial intelligence is now changing both what software can do and how software is conceived, designed, built, tested, deployed and operated. We are evolving our approach to solution delivery to take advantage of that change, while maintaining the engineering quality, security, governance and trust our clients expect.

We are looking for a Solution Architect who wants to be at the forefront of this evolution. You will design leading enterprise solutions for our clients and help BearingPoint establish repeatable, responsible and commercially valuable approaches to AI-enabled software delivery.

The Mission

AI in Delivery: Use AI across discovery, requirements, architecture, engineering, code review, testing, documentation, DevSecOps and operations.

AI in Solutions: Embed generative AI, enterprise search, intelligent agents, automation and machine learning into secure enterprise architectures.

 

What you will do

Design and innovate

Work with clients to understand business needs and articulate how cloud, data, integration, security and AI can be applied to solve real problems. Identify where AI creates measurable value and where a conventional approach remains the better choice.

Reinvent software delivery with AI

Help define and industrialise how BearingPoint uses AI throughout the software delivery lifecycle. Explore AI-assisted requirements elaboration, architecture, software engineering, code review, testing, documentation, DevSecOps and operational support.

Architect AI-enabled solutions

Design architectures that safely incorporate generative AI, retrieval-augmented generation, enterprise search, intelligent agents, automation and machine learning alongside traditional applications and systems of record.

Engineer for trust

Build security, privacy, resilience and responsible AI into solutions from the outset. Address identity, data protection, model and prompt security, grounding, auditability, observability, evaluation, human oversight and controls over autonomous actions.

Lead from architecture through delivery

Act as the overall technical solution lead from concept and blueprint through implementation and production. Translate functional and non-functional requirements into pragmatic designs, delivery plans and an architecture runway that teams can execute.

Experiment, prove and industrialise

Create prototypes and reference implementations, test emerging approaches and turn successful experiments into reusable patterns, accelerators, guardrails and engineering standards.

Shape our architecture practice

Advance the tools, technologies and methods used across the practice. Challenge existing approaches where AI offers a better way of working, share lessons learned and contribute to communities of interest.

Support business development

Turn business challenges into compelling technical propositions. Provide realistic architectures, delivery approaches, estimates, costs, risks and implementation roadmaps that move clients beyond AI experimentation.

Mentor and inspire

Mentor architects and engineers, review solution architectures and help teams experiment responsibly while maintaining high engineering standards.

What we are looking for

Core experience

• A track record of at least four years delivering as a Solution Architect in a fast-paced environment.

• Broad knowledge across software, data, infrastructure, integration and security domains.

• Experience leading solution design and delivery, including stakeholder management, architectural blueprints, implementation planning, solution proposals and solution costing.

• Strong knowledge of software architecture and design patterns, including API-led integration, event-driven architecture, event streaming and backend-for-frontend patterns.

• Experience with Azure or AWS, Cloud Adoption Frameworks, security best practices, high availability and disaster recovery.

• Formal architecture certification such as Microsoft Azure Solutions Architect Expert (AZ-305), AWS Certified Solutions Architect - Professional (SAP-C02), or TOGAF.

AI-enabled architecture and engineering

• Practical understanding of how generative AI and agentic AI can be incorporated into enterprise software.

• Familiarity with patterns such as retrieval-augmented generation, semantic search, tool or function calling, agent orchestration and human-in-the-loop workflows.

• Curiosity about AI-enabled software engineering and how coding assistants and agents can reshape traditional development processes.

• Comfort with hands-on experimentation and prototyping. This is not a full-time development role, but recent engineering experience is highly valued.

Desirable experience

• Architecture modelling tools and process-driven design methods.

• Front-end technologies and frameworks such as React or Angular.

• Java or .NET application frameworks.

• Integration and middleware platforms.

• Case management solutions and workflow platforms.

• Data design, storage, management and analytics.

• Managing the architecture runway in close cooperation with delivery teams.

• AI platforms and services within Microsoft Azure, AWS or other enterprise ecosystems.

How success will be measured

• Client solutions are secure, scalable, supportable and demonstrably aligned to business outcomes.

• AI is applied selectively, with clear value, appropriate controls and realistic operational ownership.

• Delivery teams have usable blueprints, patterns, guardrails and architecture decisions that accelerate implementation.

• Prototypes and experiments are converted into repeatable methods and reusable assets rather than remaining isolated demonstrations.

• Knowledge and capability are shared across the practice through mentoring, reviews and communities of interest.

• Technical propositions clearly explain value, scope, risk, cost and the path from initial use case to production.