LLM & Agentic Consulting Engineer
Hybrid / Remote based with trips to client offices and HQ
Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability.
As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution.
The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients.
You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions.
Key Accountabilities
Client-Facing AI Engineering & Agentic System Design
You will design and deliver production-grade AI systems for external clients, including:
- LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops
- Multi-agent architectures, including planning, delegation, safety constraints and monitoring
- Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows
- Ontology and knowledge modelling literacy to enable precise reasoning and data alignment
- Integrations and automation via APIs, tools and enterprise systems
- Prompt engineering at scale, including pattern libraries, guardrails and explainability checks
You will lead technical design within client engagements and set architectural direction across delivery pods.
Technical Discovery, Feasibility & Solution Architecture
Working closely with consulting counterparts, you will:
- Translate ambiguous client problems into clear, feasible engineering approaches
- Assess client data, platforms, security constraints and operating models
- Contribute to framing, use-case shaping and technical scoping discussions
- Work directly with client domain experts to surface edge cases and operational realities
- Produce clear, lightweight technical artefacts for client and internal audiences
Delivery Excellence, AI Ops & Reliability
You will ensure client solutions are safe, observable and enterprise-ready by:
- Implementing evaluation frameworks and safety checks across models and agents
- Designing monitoring, logging, tracing and incident-response patterns
- Applying governance, risk and compliance principles within client environments
- Supporting releases, environments and handover into client operations
- Ensuring reliability, reproducibility, performance and cost controls
Reusable Assets & Consulting Capability Building
As part of a consulting-led engineering practice, you will:
- Build reusable accelerators, agent patterns and technical templates for client delivery
- Contribute to internal playbooks, training and enablement programmes
- Share emerging research, frameworks and deep-tech insights with consulting teams
- Influence delivery methodology, technical standards and architectural patterns
Experience & Skills
This is a senior, hands-on consulting engineering role. Candidates should bring:
- Experience in software engineering, AI engineering, or applied data engineering
- Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases
- Experience designing or implementing multi-agent systems or tool-calling frameworks
- Strong Python skills with experience building production-grade systems
- Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic)
- Familiarity with semantic modelling, ontologies, or knowledge graph concepts
- Proven ability to rapidly prototype solutions for client validation
- Experience working directly with clients in consulting or professional services contexts
Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.




![Role: Senior AWS Migration Engineer (Contractor) Location: Remote / [Client Site - Optional] Contract Length: [6 months initially, with extension possible]] Rate: [Market competitive Engagement Type: Contract (Outside IR35) ________________________________________ About the Role We are seeking a highly skilled Senior AWS Migration Engineer to join our team on a contract basis. You will play a key role in planning, executing, and optimizing cloud migration projects, specifically leveraging the full AWS service stack with a strong emphasis on serverless technologies like Lambda. This role is ideal for an engineer passionate about cloud architecture, hands-on delivery, and solving complex migration challenges at scale. ________________________________________ Key Responsibilities • Lead the end-to-end migration of applications, databases, and services from on-premises or other cloud environments to AWS. • Architect and design serverless and traditional cloud-native solutions utilizing AWS Lambda, API Gateway, DynamoDB, Step Functions, and related services. • Implement and optimize AWS infrastructure services (EC2, S3, RDS, VPC, CloudFormation, IAM, ECS, EKS, etc.). • Collaborate with stakeholders to analyze current application architecture, design migration strategies, and create detailed migration runbooks. • Automate infrastructure deployment and management through Infrastructure as Code (IaC) using CloudFormation, Terraform, or CDK. • Ensure high availability, scalability, performance, and security of AWS-hosted applications. • Troubleshoot migration issues and optimize the transition process. • Provide documentation, technical guidance, and mentorship to internal teams. • Contribute to cloud best practices, governance, and optimization frameworks. ________________________________________ Key Skills and Experience • Proven track record (5+ years) delivering complex AWS cloud migration projects at an enterprise level. • Deep hands-on experience with AWS Lambda and serverless architecture patterns. • Strong expertise across the full AWS services ecosystem (e.g., EC2, S3, RDS, VPC, IAM, ECS, EKS, SQS, SNS, CloudWatch, CloudTrail, etc.). • Proficient in Infrastructure as Code (CloudFormation, Terraform, or AWS CDK). • Experience with AWS migration tools (AWS Migration Hub, DMS, SMS, Application Migration Service). • Strong knowledge of security best practices, networking, and cost optimization on AWS. • Ability to write high-quality Python, Node.js, or Java code for AWS Lambda functions. • Familiar with CI/CD pipelines, DevOps practices, and automation (AWS CodePipeline, CodeBuild, Jenkins, etc.). • Excellent problem-solving skills and ability to work independently in a contractor capacity. • Strong communication and stakeholder management skills. ________________________________________ Nice to Have • AWS Certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer, AWS Certified Migration Specialist). • Familiarity with containerization (Docker, Kubernetes, AWS Fargate). • Previous experience in highly regulated environments (finance, healthcare, online commerce etc.).](https://www.staffworx.co.uk/wp-content/uploads/2024/07/awslogo-e1736935653127-150x150.jpg)