AWS Solutions Architect – AI Implementations

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Look4IT

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

🎯 Recruiter

☁️ SaaS

Recruitment • IT • SaaS

Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.

📋 Description

• Designing end-to-end AWS architectures for AI and GenAI implementations across multiple client projects • Leading architecture discovery workshops and Well-Architected Framework reviews with client teams • Selecting and configuring the right AWS AI/ML services for each use case — Bedrock, SageMaker, Comprehend, Textract, and beyond • Defining IaC standards and reviewing infrastructure implementations by engineering teams • Advising on data architecture — ingestion, storage, transformation, and access patterns optimised for AI workloads • Working with client security and compliance teams to ensure architectures meet regulatory and enterprise requirements • Contributing to pre-sales and solutioning — proposals, effort estimates, and client technical presentations where needed • Mentoring cloud engineers on the delivery team and conducting architecture and code reviews • Staying current with the AWS AI/ML service roadmap and advising clients on relevant emerging capabilities

🎯 Requirements

• Proven AWS architecture experience at senior or lead level (5+ years hands-on, across multiple production environments) • Hands-on experience designing and implementing AI/ML solutions on AWS — Amazon SageMaker, Amazon Bedrock, or equivalent managed AI services • Deep knowledge of AWS core services: compute (EC2, ECS, EKS, Lambda), storage (S3, EFS), databases (RDS, DynamoDB, Aurora), networking (VPC, API Gateway, CloudFront) • Experience with Infrastructure as Code — Terraform, AWS CDK, or CloudFormation — with a production track record, not just familiarity • Understanding of data architecture patterns for AI workloads: data lakes, streaming pipelines, feature stores, vector databases • Security-first design mindset — IAM, VPC design, encryption, compliance with GDPR and common enterprise security frameworks • Ability to work directly with clients: translating business requirements into architectural decisions and communicating them clearly to both technical teams and senior stakeholders • English proficiency at B2 or above (working language across international delivery teams and clients) • NICE TO HAVE: AWS certification — Solutions Architect Professional, Machine Learning Specialty, or equivalent (valued but not a hard requirement) • Experience with GenAI application architecture: LLM integration, RAG (Retrieval-Augmented Generation), agentic AI frameworks (LangChain, LangGraph) running on AWS infrastructure • MLOps experience — model deployment pipelines, monitoring, drift detection, model versioning (SageMaker Pipelines, MLflow, etc.) • Multi-account AWS architecture: AWS Organizations, Control Tower, landing zones • Cost optimisation expertise — FinOps practices, Reserved Instances, Savings Plans, rightsizing for AI/GPU workloads • Experience in regulated industries: financial services, healthcare, or public sector — with associated compliance requirements • Containerised AI workloads: Docker, Kubernetes (EKS), Helm • Observability and monitoring: CloudWatch, AWS X-Ray, OpenTelemetry

🏖️ Benefits

• Remote work options