At a Glance
- Tasks: Lead the design and delivery of innovative generative AI solutions on AWS.
- Company: Dynamic tech company focused on cutting-edge AI technologies.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Join a supportive team with a commitment to diversity and inclusion.
- Why this job: Shape the future of AI while collaborating with top industry experts.
- Qualifications: Experience in cloud-native GenAI architectures and strong Python skills.
The predicted salary is between 80000 - 100000 £ per year.
Lead the architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across the GenAI lifecycle while collaborating with engineering, security, compliance, and business stakeholders.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock.
- Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows.
- Design agentic AI systems incorporating tool use, workflow orchestration, memory management, and autonomous decision flows.
- Implement observability for prompts, model responses, vector retrieval quality, and agent execution workflows.
- Integrate GenAI capabilities into enterprise applications, APIs, workflow platforms, and data ecosystems.
- Work with security, risk, compliance, engineering, and business teams to enable LLMOps and AgenticOps capabilities – prompt lifecycle management, model observability, caching, evaluation and governance.
- Ensure compliance with enterprise governance, model risk, auditability, data privacy, and regulatory requirements in highly regulated environments.
- Produce solution documentation, technical standards, and deployment approaches, and support delivery from concept through production.
Additional Responsibilities:
- Architecture Governance: Establish reference architectures, reusable patterns, security standards, and engineering best practices for GenAI adoption across the organization. Provide technical leadership and mentorship to engineering teams implementing GenAI solutions.
- AI Strategy Alignment: Partner with business and product stakeholders to identify high-value GenAI use cases and define measurable outcomes.
- Vendor / Model Evaluation: Evaluate foundation models, embedding models, vector databases, and AI tooling for enterprise suitability.
- Cost Optimization: Optimize inference cost, latency, throughput, and scalability across GenAI workloads.
Your Skills:
- Experience designing cloud-native GenAI architectures using AWS services such as Bedrock, Lambda, SageMaker, OpenSearch, ECS/EKS, API Gateway, Step Functions, S3, IAM, KMS, and CloudWatch.
- Knowledge of scalable, secure, event-driven, and distributed system architectures.
- Experience integrating structured and unstructured enterprise data sources.
- Experience with RAG, fine-tuning, model evaluation, data privacy, ethical AI, and cross-functional stakeholder management is expected.
- Strong understanding of enterprise security architecture, IAM, encryption, and secure AI deployment practices.
- Experience implementing AI governance, auditability, data privacy, and compliance controls.
- Banking or regulated-industry experience is highly relevant.
- Hands-on Python development experience for building GenAI applications, APIs, orchestration pipelines, and automation workflows is preferred.
We are a Disability Confident Employer (Level 2).
Gen AI Architect – London, UK – London employer: Recruit4Mum
As a leading employer in the tech industry, we offer an innovative work culture that fosters collaboration and creativity, particularly for our Gen AI Architect role in London. Our hybrid working model provides flexibility while ensuring you engage with diverse teams across various locations, enhancing your professional growth. With a strong focus on employee development, mentorship opportunities, and a commitment to ethical AI practices, we empower our employees to make a meaningful impact in the rapidly evolving field of generative AI.
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