Artificial Intelligence Engineer

Senior AI Engineer with deep commercial expertise in agentic AI frameworks required to lead the development and production deployment of complex, multi-agent systems. • Current SC Clearance Required • 3 month initial contract term (extensions expected) £550-£700/day Outside IR35 This is a rare opportunity to blend cutting-edge AI research with hands-on, mission-critical infrastructure ownership. The role demands an engineer who is equally adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Why Join? • Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. • Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD pipelines. • Mission-Critical Impact: Work on solutions deployed in constrained, highly secure environments, delivering reliable performance where it matters most. • Influence & Mentor: Play a key role in shaping the technical direction of the product and mentoring other engineers on next-generation agentic AI best practices. The Role This senior role sits at the nexus of AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. The scope includes: • Architecting and optimizing multi-agent AI pipelines with 4+ agents for scale, reasoning, and automation. • Implementing and maintaining multi-region AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform. • Ensuring system reliability, security hardening (IAM, GuardDuty), and comprehensive observability for all AI services. • Driving zero-touch deployment using CI/CD tools like GitHub Actions and Kubernetes (EKS) for both cloud and edge environments. The Essential Requirements • MOD Security Clearance (or ability to obtain). • Proven commercial delivery of agentic AI projects using LangGraph or equivalent frameworks with more than four agents in production. • Strong multi-agent orchestration skills, including memory and tool integration. • Expertise in Python for AI development and proficiency in Bash/Go for automation. • Deep familiarity with core AWS services (EC2, VPC, IAM, S3, ALB/ELB, ECR/ECS). • Solid experience with IaC (Terraform) and containerisation (Docker). • Experience in CI/CD engineering using GitHub Actions or Argo CD. What Will Make You Stand Out • Prior research or applied experience in edge AI or constrained/offline deployment scenarios. • Direct experience with MLOps platforms like Sagemaker, Kubeflow, or ZenML. • Proficiency in building RESTful services to expose AI pipelines. • Literacy in security and governance standards (e.g., ISO 27001, NIST SSDF). • Experience with advanced cloud orchestration tools like AWS Karpenter and observability tools like Prometheus. If you are interested, hold Active SC clearance and would like to be considered, please apply via the link provided. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo CD, Edge AI, Offline AI, MOD Clearance, Security Clearance, Sagemaker, Kubeflow, ZenML, AI Architect, Solution Architect.