AI Engineer with AWS Cloud

SANS Consulting Services, Inc.; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

SANS Consulting Services, Inc. seeks a senior AI/DevOps transformation consultant to redesign infrastructure with AI tooling. The role is hybrid/onsite in Austin, TX or Fort Mill, SC and reports to the CTO.

You will drive AI-native workflows, lead automation, security automation, observability, and cloud migrations, and mentor engineers to adopt AI as the primary approach to solving problems.

Qualifications

• Experience with AI-native engineering and automation.
• Proficiency in prompt engineering and AI-assisted coding.
• Cloud migration and observability expertise.

Skills

Infrastructure as Code

AI Prompt Engineering

AI-assisted coding

DevOps

Automation

Observability

Cloud migrations

Tools

Cursor AI tool

Job description

Location: Austin, TX, or Fort Mill, SC - Hybrid/Onsite

Duration: Long Term

Note : Selected consultant will report Direct to CTO

Required Skills

• d)Infrastructure as Co
• otCursor
• AIPrompt Engineeri
• ntAI-assisted codi
• ngDevO
• psAutomati
• onAP
• IsScripti

o

On Preferred Skil

• s Agentic AI workflo
• wsAI orchestrati
• onInfrastructure modernizati
• onSecurity automati
• onVulnerability manageme
• ntFinO
• psObservabili
• ngCloud migrati

o

On Success Measur

• s Manual effort reduced by 50–7
• 0%AI adoption increased across tea
• onImproved engineering productivi
• tyPositive influence on engineering cultu

r

• s AI-native minds
• etHighly proacti
• veCurious and innovati
• veIndependent think
• orComfortable working with ambigui
• tyOutcome-focus
• edAble to influence and mentor other
• s.Think independent
• lyIdentify opportunities without waiting for instructio
• nsBuild automation proactive
• lyUse AI as the first approach to solving proble
• msInspire existing engineering tea
• msPossess strong prompt engineering capabili
• tyBe highly proficient with Cursor (preferred) or equivalent AI coding assistan
• tsDeliver measurable productivity improvements rather than incremental gai
• nsAct as transformation catalysts rather than traditional developer