AI Architect - GenAI & Agentic AI (AWS & OpenAI) - Remote (USA)
Role details
Job location
Tech stack
Job description
We are seeking an experienced AI Architect to design and lead end-to-end architecture for Generative AI and agentic AI solutions. This role involves building scalable AI/ML and LLM-based systems, orchestrating multi-agent workflows, and integrating AWS and OpenAI technologies into enterprise environments.
You will collaborate with business stakeholders, data teams, and engineering to transform AI use cases into production-ready solutions while ensuring governance, security, and scalability., * Define target architecture for AI, GenAI, and agentic AI systems, including multi-agent workflows and orchestration layers
- Design and implement AWS-based AI architectures (Bedrock, SageMaker, Lambda, Step Functions, S3)
- Integrate OpenAI models and APIs into enterprise applications and workflows
- Design agentic AI frameworks (planning, reasoning, tool usage, multi-agent coordination)
- Establish data architecture patterns including ingestion, transformation, and feature engineering
- Build real-time and batch AI data pipelines
- Define RAG architectures, vector databases, embeddings, and prompt orchestration strategies
- Ensure AI governance, security, and responsible AI practices
- Create reusable reference architectures, accelerators, and design patterns
- Collaborate with engineering teams on solution design, deployment, and scaling
- Evaluate and onboard AI platforms, tools, and vendors
Requirements
Do you have experience in Stakeholder management?, Work Authorization: Must be authorized to work in the USA (any visa acceptable), * 10+ years of experience in architecture roles (AI/ML, cloud, or data platforms)
- Strong expertise in AWS ecosystem (Bedrock, SageMaker, Lambda, API Gateway, S3, IAM, Step Functions)
- Hands-on experience with OpenAI / LLM integration and GenAI architectures
- Experience designing agentic AI systems and multi-agent frameworks
- Strong knowledge of RAG pipelines, vector databases, embeddings, and prompt engineering
- Experience with data architecture (data lakes, warehouses, ETL pipelines)
- Knowledge of APIs, microservices, and distributed systems
- Understanding of AI governance, security, and risk management
- Excellent communication and stakeholder management skills, * Experience in telecom or B2B services environments
- Familiarity with enterprise platforms (Salesforce, billing, provisioning systems)
- Experience with AI observability and evaluation frameworks, * Do you have 10+ years of experience in architecture roles (AI/ML, cloud, or data platforms)?
- Do you have hands-on experience with AWS ecosystem such as Bedrock, SageMaker, Lambda, and Step Functions?
- Have you designed or implemented agentic AI systems or multi-agent frameworks?
- Are you authorized to work in USA? (Any visa acceptable)
Work Location: Remote
Benefits & conditions
$72 - $85 an hour - Contract