Senior Specialist - Architecture

LTM

Minneapolis (MN)

On-site

USD 140,000 - 210,000

Full time

28 hours ago
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Benefits offered by this job

Medical, Dental, Vision
Disability Coverage
401(k) Match
Life Insurance
Vacation & Holidays
Paternity Leave
Maternity Leave

Job summary

LTIMindtree is seeking a Senior AWS Cloud Generative AI Engineer Consultant with 7 to 11 years of experience to design, develop, and manage scalable cloud-native solutions and AI-powered applications on AWS. The role emphasizes architecture, governance, and collaboration with data teams across enterprise environments.

The candidate will lead DevOps practices, leverage LangChain and LlamaIndex, and work across AWS services to deliver secure and innovative AI-driven capabilities.

Qualifications

  • 7–11 years of experience in AWS cloud engineering or equivalent
  • Experience designing scalable cloud-native solutions on AWS
  • Proven ability to lead AI-powered application development and deployment
  • Strong knowledge of DevOps practices, CI/CD and IaC
  • Experience with LangChain and LlamaIndex is a plus
  • Ability to optimize costs, security, and governance in cloud environments

Responsibilities

  • Architect scalable, secure, resilient AWS-based cloud solutions
  • Develop and integrate Generative AI applications using AI frameworks
  • Lead DevOps practices including CI/CD and IaC
  • Manage AWS services (EC2, S3, EMR, Glue, etc.) for data and AI workloads
  • Collaborate with stakeholders to identify AI-driven business opportunities
  • Mentor junior engineers and enforce best practices in cloud and AI initiatives
  • Optimize performance, security, and cost efficiency of cloud platforms
  • Ensure compliance with cloud security and AI governance policies

Skills

AWS
Cloud Architecture
Generative AI
LangChain
LlamaIndex
Terraform
Kubernetes
CI/CD

Tools

Docker
Kubernetes
Terraform
CloudFormation

Job description

Job Summary

Seeking a Senior AWS Cloud Generative AI Engineer Consultant with 7 to 11 years of experience to design develop and manage scalable secure cloud native solutions and AI powered applications on AWS

Role Description

Seeking a Senior AWS Cloud Generative AI Engineer Consultant with 7 to 11 years of experience to design develop and manage scalable secure cloud native solutions and AI powered applications on AWS

Job Description

Design deploy and manage cloud native solutions using a broad range of AWS services including EC2 S3 VPC Lambda ECSEKS RDS CloudWatch EMR and Glue Develop and optimize infrastructure leveraging AWS Compute Storage Networking IAM and Security services Build and integrate Generative AI applications using LLMs RAG architectures prompt engineering and AI orchestration frameworks Implement CICD pipelines and Infrastructure as Code using Terraform and CloudFormation Use containerization and orchestration tools such as Docker and Kubernetes Collaborate with data engineering and analytics teams to build AIready cloud platforms Ensure cloud governance security scalability and cost optimization best practices Stay current with AIML and cloud security governance frameworks to drive innovation and compliance Provide technical leadership bridging cloud engineering and AI innovation to deliver next generation enterprise solutions

Roles And Responsibilities

Architect scalable secure and resilient cloud solutions on AWS tailored to enterprise needs

Develop and maintain AI powered applications leveraging Generative AI technologies and frameworks such as Lang Chain and Llama Index

Lead the implementation of DevOps best practices including CICD Infrastructure as Code and automated cloud deployments

Manage AWS services including EC2 EMR Glue S3 and others to support data processing and AI workloads

Collaborate with stakeholders to identify and prioritize AI driven business transformation opportunities

Mentor and guide junior engineers on cloud and AI initiatives

Optimize cloud infrastructure for performance security and cost efficiency

Ensure compliance with cloud security standards and AI governance policies

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And Perks
  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

the compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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