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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.
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
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
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
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
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”):
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.
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.