Job description
This role is for one of the Weekday's clients Min Experience: 8 years Location: Hyderabad JobType: full-time We are seeking a highly skilled and forward-thinking AWS + Generative AI + DevOps Manager to lead the design, development, and deployment of next-generation AI-powered applications.
This role requires a strong blend of cloud architecture expertise, hands-on DevOps leadership, and deep knowledge of Generative AI frameworks such as LangChain.
As a key technology leader, you will drive innovation by leveraging AWS services and modern AI capabilities to build scalable, secure, and intelligent systems.
You will work closely with cross-functional teams including engineering, data science, and product to deliver robust AI-driven solutions.
Key Responsibilities: Lead end-to-end architecture, development, and deployment of applications on AWS cloud infrastructure.
Design and implement scalable solutions using Generative AI (GenAI) technologies and frameworks like LangChain .
Build and manage AI pipelines integrating LLMs, embeddings, vector databases, and APIs.
Drive DevOps best practices including CI/CD pipeline design, infrastructure as code (IaC), monitoring, and automation.
Manage and optimize AWS services such as EC2, S3, Lambda, ECS/EKS, API Gateway, and CloudFormation/Terraform.
Collaborate with data scientists to productionize machine learning and GenAI models.
Ensure system reliability, performance, security, and cost optimization across environments.
Lead and mentor a team of engineers, fostering a culture of innovation and continuous improvement.
Implement observability tools and practices for logging, monitoring, and alerting.
Stay updated with emerging trends in Generative AI, cloud technologies, and DevOps methodologies.
Required Skills & Expertise: Strong hands-on experience with AWS cloud platform and its core services.
Proven expertise in Generative AI (GenAI) , including working with large language models (LLMs).
Practical experience with LangChain for building AI-powered applications and workflows.
Deep understanding of AWS DevOps practices , including CI/CD tools (Jenkins, GitHub Actions, CodePipeline).
Experience with infrastructure as code tools such as Terraform or AWS CloudFormation.
Familiarity with containerization and orchestration tools like Docker and Kubernetes (EKS preferred).
Experience integrating AI/ML models into production environments.
Strong programming skills in Python and/or other relevant languages.
Knowledge of vector databases, prompt engineering, and AI model evaluation techniques.
Solid understanding of security, compliance, and cloud governance.
Preferred Qualifications: Experience in deploying and managing LLM-based applications at scale.
Exposure to MLOps and AI lifecycle management.
AWS certifications (Solutions Architect, DevOps Engineer) are a plus.
Experience with data pipelines and big data tools is advantageous.
Leadership & Soft Skills: Strong problem-solving and analytical thinking abilities.
Excellent communication and stakeholder management skills.
Proven experience leading and mentoring technical teams.
Ability to work in a fast-paced, innovation-driven environment.
This job post has been translated by AI and may contain minor differences or errors.
