AI Architect - GenAI & Agentic AI (AWS & OpenAI) - Remote (USA)

Tech Inc
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 177K

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Databases
Data Architecture
ETL
Software Design Patterns
Distributed Systems
Identity and Access Management
Salesforce
Systems Integration
Enterprise Software Applications
Feature Engineering
Large Language Models
Multi-Agent Systems
Prompt Engineering
State Machines
Generative AI
Data Lake
Data Management
Functional Programming
Api Gateway
Data Pipelines
Microservices

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

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