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About the Role

Credera's AI Solution Architects tackle complex technology challenges for leading organizations. As part of Omnicom, we blend global scale with consultancy autonomy, enabling impactful AI work at the forefront of the field.

Responsibilities

Lead the design and development of robust, end-to-end AI solution architectures incorporating modern generative and agentic capabilities to support clients' strategic goals.
Define and implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs, and microservices.
Oversee the integration of Machine Learning, Generative AI, and agentic systems into enterprise environments, ensuring seamless functionality, performance, and responsible operation.
Provide technical assurance across programmes, reviewing and challenging solution designs to ensure they meet architectural, security, scalability, and delivery standards.
Act as a Design Authority where appropriate, providing architectural oversight and accountability across complex programmes and ensuring consistency and quality across multiple workstreams.
Lead high-profile generative AI and agentic proof of concepts (PoCs) at client sites, personally shaping and steering delivery to demonstrate the value and potential of AI-driven solutions with credibility and pace.
Drive the implementation and industrialisation of LLM-based and agentic solutions to enhance business processes, decision-making, and customer experience, applying patterns such as RAG, orchestration, and multi-agent workflows, and tool/function calling.
Establish best practices for LLMOps, MLOps, and AIOps, including evaluation, observability, model routing, cost and latency optimisation, and secure deployment.
Lead the development of reusable AI accelerators, patterns, and reference architectures, and champion market-leading practice across the capability.
Establish evaluation, guardrail, and responsible AI practices to manage risks such as hallucination, bias, data leakage, and prompt injection at enterprise scale.
Ensure AI solutions meet relevant standards and regulations for security, privacy, and responsible AI, particularly in public sector and regulated environments.
Advise clients on AI adoption, modernisation, and operating-model strategies for the sustainable, responsible scaling of AI and agentic capability.
Collaborate with cross-functional teams to align AI strategy with business objectives, and partner with senior client stakeholders and the C-suite to define AI roadmaps.
Work closely with business, engineering, and policy teams to align solutions with organisational goals.
Act as a leader in Credera's AI capability, driving thought leadership and innovation, and sharing expertise with clients and audiences beyond immediate project delivery.
Mentor and guide teams of engineers, data scientists, and architects across multiple workstreams, fostering a culture of innovation and excellence.
Act as a Design Authority across programme delivery where required, providing assurance and constructive challenge on the designs produced by other architects and delivery teams.

Requirements

Proven experience (8+ years) in AI, machine learning, or data solution design, including significant hands-on experience delivering modern generative AI solutions.
Deep, applied experience leading generative AI and agentic proof of concepts and industrialising them into production — including tool use, orchestration, autonomous, and multi-agent workflows.
Demonstrable experience designing end-to-end AI architectures that incorporate modern AI or agentic capability at enterprise scale.
Overall responsibility and accountability for programme delivery, managing cost, quality, and business outcomes with minimal oversight, and effectively leading large teams across multiple workstreams.
Experience leading solution implementations and AI programmes for medium to large teams.
Experience providing architectural assurance, reviewing the work of other architects, and acting as a Design Authority across complex programmes.
Experience in the architecture of advanced analytics platforms or modern data solutions (e.g., cloud-native data and lakehouse platforms) is desirable, providing a strong foundation for grounding enterprise AI solutions in trustworthy data.
Strong understanding of core data management concepts over the full data lifecycle, and how to ground AI solutions in trustworthy enterprise data.
Strong understanding of cloud-centric approaches to solution design and architecture.
Strong understanding of CI/CD, LLMOps, and modern approaches to IT and infrastructure delivery.
In-depth knowledge of AI security, responsible AI, and compliance standards.
Public sector experience preferred (government, healthcare, or regulated industries).

Skills

Azure OpenAI Service
Azure AI Foundry
Azure AI Search (vector / RAG)
Azure Machine Learning
Azure AI Agent Service
Semantic Kernel
Prompt Flow
Content Safety
Amazon Bedrock (including Knowledge Bases and Agents)
Amazon SageMaker
Amazon Q
Amazon OpenSearch (vector)
Guardrails for Amazon Bedrock
Agentic frameworks and orchestration patterns (e.g. Semantic Kernel, AutoGen, LangGraph, LangChain, CrewAI or equivalents)
Model Context Protocol (MCP)
RAG and retrieval patterns using vector stores and embedding models
Evaluation and guardrail frameworks for LLM and agentic systems
Cloud-based platform architecture (AWS or Azure)
Modern data and lakehouse ecosystems (e.g. Microsoft Fabric, Databricks, Snowflake, Synapse, Redshift)
Leadership and programme management
Communication and collaboration
Translating business objectives into technical solutions
Providing constructive technical challenge and assurance

Location

Remote
Hybrid

Work Type

Full-time
Consulting

Experience Level

8+ years in AI, machine learning or data solution design
Significant hands-on experience delivering modern generative AI solutions
Deep, applied experience leading generative AI and agentic proof of concepts and industrialising them into production
Experience leading solution implementations and AI programmes for medium to large teams
Experience providing architectural assurance

Education Level

Certified architect in a cloud-based platform (AWS or Azure); AI or machine learning specialism desired.

Salary/Compensations

£95,000- 113,000

Benefits

Competitive salary
Comprehensive benefit plan
Personalised development opportunities
Exciting client assignments
Rapid progression for high performers
Social team connection opportunities

About the Company

Credera is a global consulting firm combining transformational consulting, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth.
Our global boutique approach provides tailored, scalable solutions.
We are a values-led organisation with a mission to make an extraordinary impact on clients, people, and the community.
We work with and transform influential brands and organisations worldwide, from strategy through to execution.
We are part of the OPM Group of Companies, a division of Omnicom Group Inc.
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent and building inclusive teams.
We believe that celebrating differences makes us stronger together.

Equal Opportunity

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.