AI Platforms & Community Architect (onshore)
Role details
Job location
Tech stack
Job description
We are seeking a versatile AI Platforms & Community Architect to support and scale the use of OpenAI and generative AI technologies across the organization. This role sits at the intersection of platform administration, solution architecture, and user enablement, ensuring secure, scalable, and effective adoption of AI capabilities.
You will manage the OpenAI/ChatGPT environment, oversee governance and access controls, design AI-driven solutions, and foster a strong internal AI community. This is a hands-on, highly visible role working across cybersecurity, engineering, data, and business teams. Along with this you will be a Snowflake data architect. As an Architect, you will Lead the creation of the strategic enterprise data architecture for Hyatt. Partners with internal stakeholders define the principles, standards, and guidelines regarding data flows, data aggregation, data migration, data curation, data model, data consumption and data placements. Provide expertise regarding data architecture in critical programs, data strategy and data quality remediation activities. Validates data architecture for adherence to defined policies, standards and guidelines including regulatory directives.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data.
POSITION RESPONSIBILITIES:
AI Platform Administration & Governance
Administer OpenAI platforms (ChatGPT Enterprise, APIs, custom GPTs)
Manage user access, permissions, and role-based access control (RBAC)
Configure and manage workspaces, environments (Dev/Test/Prod), and policies
Implement SCIM provisioning/deprovisioning and lifecycle management
Define and enforce governance:
Prompt usage policies
Data privacy and handling standards
Model usage and selection (GPT, embeddings, fine-tuned models)
Monitor usage, quotas, API consumption, and cost controls
Implement audit logging, monitoring, and reporting
Integrate with identity providers (Okta, Azure Entra ID, Omada/OAMDA)
Enforce least-privilege access and conduct periodic access reviews
Partner with Cybersecurity to:
Obtain approvals for AI use cases
Conduct risk assessments (prompt injection, data leakage, misuse)
Support threat modeling for LLM-based solutions
Ensure compliance with SOC2, ISO 27001, and internal security policies
Implement data protection controls (PII masking, redaction, tokenization)
Design and support AI/LLM-powered solutions across business functions
Guide teams on:
Prompt engineering best practices
Output validation and guardrails
Hallucination mitigation strategies
Support
Custom GPT development
Retrieval-Augmented Generation (RAG) pipelines
Model evaluation and optimization
Stay current with evolving AI/LLM technologies and recommend use cases
Integrate AI capabilities with ServiceNow:
Access requests and approvals
Incident and change management
AI service catalog
Manage and optimize Jira workflows:
Feature requests and backlog
Bug tracking
AI use case onboarding
Automate workflows and provisioning via APIs
Data Platform Integration (Snowflake & Cortex)
Work with Snowflake to enable secure AI data access and pipelines
Leverage Snowflake Cortex for embedded AI/LLM capabilities
Ensure proper data governance, masking, and access controls
Integrate AI solutions with enterprise data platforms (Snowflake, Databricks)
Utilize AWS services including:
IAM, S3, Lambda, CloudWatch
API Gateway, Step Functions (preferred)
Support secure integration of AI services within cloud environments
Manage secrets, API keys, and secure connectivity
Develop automation using Python, PowerShell, or Bash
Automate:
User provisioning
Workspace creation
Policy enforcement
Support CI/CD pipelines and DevOps processes for AI applications
Implement logging, observability, and telemetry
Build and lead an internal AI community of practice
Conduct:
Training sessions, workshops, and office hours
Knowledge-sharing forums and best practice sessions
Drive AI adoption and user engagement across teams
Act as a trusted advisor for AI use cases and innovation
Gather feedback to continuously improve platform capabilities
Collaboration & Leadership
Lead technical discussions and drive alignment across teams
Partner with vendors and technology providers on roadmap and capabilities
Work closely with engineering and data teams on solution delivery
Requirements
Strong verbal and written communication skills
Experience administering OpenAI / ChatGPT Enterprise environments
Strong understanding of LLMs, prompt engineering, and AI trends
5+ years of experience with AWS and Snowflake platforms
Experience with Snowflake Cortex and modern data platforms
Strong knowledge of AWS services: S3, Lambda, EC2, RDS, IAM, VPC, CloudWatch
Experience with databases and programming: SQL, Python, PostgreSQL, MongoDB, Redis
Experience building data pipelines and data architectures
Strong scripting skills (Python, PowerShell)
Experience with IAM roles, policies, and enterprise security models
Familiarity with serverless and cloud-native architectures
Ability to design scalable data lakes and data warehouse solutions