Job Description

Job Title:

AWS GenAI Solutions Engineer

Company: CloudiQS

Location: Remote (Hybrid Optional)

Job Type: Temp / Contract (6 months, with potential extension)

Salary: Competitive | Based on Experience

Start Date: Immediate

About CloudiQS:

CloudiQS is a cloud-native AI consulting firm focused on helping organizations accelerate their Generative AI and cloud adoption. We work with enterprises across industries to architect secure, scalable, and cost-effective AI solutions on AWS.

Job Summary:

We are seeking a skilled and proactive AWS Solutions Engineer with strong Generative AI expertise to join our team. In this role, you will lead technical engagements to evaluate customer AI readiness, benchmark large language models (LLMs), design AWS-based architectures, and guide enterprise cloud adoption of GenAI applications.

Key Responsibilities:

Design and deliver cloud architectures for GenAI applications using AWS services. Evaluate and compare performance of LLMs using structured testing (e.g., Amazon Bedrock, SageMaker, Nova). Assess customer data infrastructure, governance, and integration points. Define and document security, compliance, and operational requirements. Collaborate with data, ML, and product teams to align technical work with business goals. Prepare detailed deliverables including: Architecture diagrams Implementation roadmaps Data readiness and compliance reports ROI and business value analysis
Required Skills & Experience:

Experience in S3, IAM, Lambda, SageMaker, Bedrock, CloudWatch Strong background in cloud architecture and security best practices Experience in designing and testing GenAI or LLM-based applications Skilled in prompt engineering, evaluation frameworks, or RAG pipelines Working knowledge of data pipelines, governance, and privacy standards (e.g., GDPR, HIPAA) Ability to produce high-quality technical documentation and communicate clearly with stakeholders

Preferred Qualifications:

AWS Certified Solutions Architect - Associate or Professional AWS Certified Machine Learning - Specialty Experience with OpenAI, Anthropic, Cohere, Hugging Face, or similar platforms Experience working in regulated industries (finance, healthcare, legal, etc.

Why Join CloudiQS

?

Work with cutting-edge cloud and GenAI technologies Collaborate with a fast-growing, high-impact consulting team Opportunity to influence large-scale AI initiatives from the ground up
Please Note: we will ask the candidate to produce a demo in a particular use case which will be give at the interview stage. The candidate must demonstrate in depth the above skills sets.

Job Type: Temporary
Contract length: 3 months

Pay: ?1,500.00 - ?2,000.00 per month

Benefits:

Work from home
Experience:

AWS SageMaker: 4 years (Preferred) AWS BedRock : 3 years (Preferred) AWS Lambda : 5 years (Preferred) AWS Architecture : 6 years (Preferred) AWS Data Lake : 5 years (Preferred)
Work Location: Remote

Expected Start Date: 02/06/2025