Cloud Architect

Cloud Architect (Dev Sec Ops  & LLMOps Engineer)

Location: London, United Kingdom (Hybrid – 50% work from client office)

Employment Type: Full-time

Security Clearance: Must hold or be eligible to obtain UK Security Check (SC) Clearance

As a Cloud Architect (Dev Sec Ops  & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.

• Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, Git Hub Actions, Ansible, ECS/Fargate, and AWS native services.

• Build and ope rationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.

• Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.

• Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.

• Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.

• Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, Cloud Watch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.

• Strong experience with Dev Sec Ops  practices including Git Hub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.

• Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/Lang Graph), AI guardrails, and model evaluation.

• Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.

• Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.

• Excellent communication, stakeholder management, and client-facing skills.

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• Must currently reside in the United Kingdom.

• Must be available to start within 4 weeks of receiving an offer.

• Must hold or be eligible to obtain UK Security Check (SC) Clearance.

• Experience with Kubernetes/EKS, Docker, Service Now, Jira, Git Hub Runners, Cloud Formation, Route 53, WAF, Event Bridge, Step Functions, and serverless architectures.

• Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.

• Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.

• Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.

• Exposure to vector databases, Open Search, Lang Chain/Lang Graph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.

• Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance
• Candidates must be available to start within 4 weeks of receiving an offer.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.