NetAnalytiks - Generative AI Architect - Data Modeling
4 days ago
Job Title : Gen AI Architect Contractor
Location : Any Xebia Office Gurugram, Chennai, Pune, Jaipur, Bhopal, Bangalore
Shift Timing : 3 : 00 PM 12 : 00 AM IST
Experience Required : 8 Years
Joining : Immediate
About NetAnalytiks Technologies Ltd :
NetAnalytiks Technologies is a leading IT services provider specializing in Generative AI, Machine Learning, Full Stack Development, Cybersecurity, Cloud Computing, and more. We deliver tailored IT consulting, managed services, custom application development, and IT staffing solutions to clients across diverse industries.
About the Role :
We are seeking a highly skilled Gen AI Architect to lead the design and delivery of enterprise-scale Generative AI solutions for our strategic client Xebia, under the HAL Account. This is a contractor role ideal for professionals with deep expertise in cloud-native applications, AI/ML, and Generative AI technologies. The candidate will work closely with cross-functional teams to architect innovative solutions using AWS and cutting-edge AI frameworks.
Key Responsibilities :
- Translate client business challenges into scalable, end-to-end AI solution architectures.
- Architect and implement cloud-native applications and AI-driven solutions using AWS
services.
- Design and document solution blueprints, HLDs, and LLDs.
- Lead the development of Generative AI and Agentic AI solutions using AWS Bedrock,
SageMaker, and LLMOps practices.
- Define and implement data pipelines and integration patterns using AWS-native tools.
- Ensure solutions adhere to AWS Well-Architected Framework for scalability, performance, and security.
- Provide technical leadership to engineering teams and ensure alignment from design to
delivery.
- Stay updated with emerging AI/ML technologies and bring innovative ideas to client engagements.
- Collaborate with business and IT stakeholders to align technology with strategic goals.
Skills & Experience :
- Strong experience in application architecture (microservices, APIs, integration patterns).- Hands-on expertise with AWS services for application development, data engineering, and AI/ML.
- Deep understanding of Generative AI, Agentic AI, and LLMOps.
- Proven ability to create and lead end-to-end solution designs and technical delivery.
- Experience with enterprise data platforms (data lakes, ETL, analytics) on AWS.
- Excellent communication, consulting, and client-facing skills.
Preferred Certifications :
- AWS Solution Architect - Professional (or Associate minimum)- AWS Machine Learning - Specialty
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