AWS Cloud AI Engineer

Techilaservices; Chennai District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Techila is seeking an AWS Cloud AI Engineer to join our hybrid team in Chennai. The role demands 5–10 years of experience in cloud engineering with a focus on AWS, DevOps, and large-scale platform modernization.

You will work with senior architects on design, integrations, and domain depth to deliver AI-enabled cloud transformations. The position offers a full-time hybrid work arrangement in Chennai with a structured interview process and timely feedback.

Qualifications

• Minimum 10+ years of multi cloud engineering experience.
• Minimum 7+ years of AWS engineering experience.
• Proven experience designing AWS Landing Zones or Account Vending solutions.
• Strong DevOps, automation, and Infrastructure as Code experience.
• Experience delivering cloud transformation and AI-enabled platform modernization initiatives.

Responsibilities

• Design and implement AWS Landing Zone and multi-account governance models.
• Lead cloud transformation initiatives and AI-enabled platform modernization.
• Develop automation using IaC and agentic workflows; drive generative AI adoption in enterprise environments.

Job description

Hybrid Chennai 5–10 yrs Apply by Oct 9, 2026AWS Cloud AI EngineerJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Experience5–10 yrsEmployment TypeFull-timeOpenings1 positionApply ByOct 9, 2026 Required SkillsAWSDevOpsJob DescriptionMinimum 10+ years of multi cloud engineering experience. Minimum 7+ years of AWS engineering experience. Proven experience designing and implementing AWS Landing Zones or Account Vending solutions. Strong DevOps, automation, and Infrastructure as Code experience. Experience delivering cloud transformation and AI-enabled platform modernization initiatives.Strong hands-on experience with:AWS Control Tower AWS Organizations Account Vending Frameworks Multi-account governance models AWS Landing Zone implementations CloudWatch CloudTrail AWS Config AI-enabled platform automation Agentic workflows and automation Generative AI adoption within enterprise environments AWS AI/ML services Cloud-based AI deployment patterns Intelligent self-service platform capabilitiesAt a GlanceWork ModeHybridEmploymentFull-timeExperience5–10 yrsOpenings1LocationChennaiDeadlineOct 9, 2026[ Hiring process ]What to expectFour stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.STEP 0130 minScreening CallIntroductory conversation with our talent team to understand your background and motivations.STEP 0260–90 minTechnical RoundLive problem-solving with a senior architect on Salesforce design, integrations, or domain depth.STEP 0345 minCulture FitConversation with practice leadership covering working style, ownership, and how you collaborate.STEP 04Within 5 daysOfferFormal offer with full compensation breakdown, start date, and onboarding plan.