AI Architect.

Role: AI Architect

Location: Houston TX (Hybrid)

Mandate Skill: end to end architecture design and technical governance AWS Bedrock AgentCore agentic AI architecture RAG framework LLM orchestration.

Role summary:

The AI Architect is responsible for building and supporting end to end data ingestion and transformation pipelines feeding the IR data platform. The work involves integrating data from enterprise/legacy source systems into Snowflake applying transformation and quality rules and enabling downstream consumption (ODS / fast access layer / datamarts / reporting). The role also supports orchestration patterns (batch/CDC/streaming as applicable) and production readiness. The AI Architect will lead the end to end architecture design and technical governance for migrating Client Agent Assist (AI Refinery) to AWS Bedrock Agent Core. This role is responsible for defining the agentic AI architecture RAG framework LLM orchestration security patterns and enterprise integrations to support real time call center AI use cases.

The architect will work closely with Client SMEs security teams and delivery leads to ensure a scalable compliant and production ready GenAI platform.

Required Skills & Experience

Core Skills

• Bachelors in CS/IS or equivalent.
• 12 18 years overall experience with 5 years in AI/GenAI architecture
• Snowflake (data ingestion/loading patterns SQL-based transformations).
• Informatica for integration and ETL execution patterns.
• Spark / Hadoop ecosystem exposure for big data processing use cases.
• Strong programming SQL fundamentals (coding quality is explicitly emphasized)

Key Responsibilities

• Own overall AI/GenAI solution architecture for Agent Assist on AWS Bedrock AgentCore
• Define agentic architecture patterns (Orchestrator Utility Agents Super Agents)
• Design RAG architecture including document ingestion vector stores retrieval and re ranking
• Architect real time audio and transcription pipelines (Genesys AWS Transcribe Bedrock)
• Define LLM strategy (model selection inference patterns embeddings)
• Lead integration architecture with:
  • Genesys (WebSocket real time audio)
  • Corebridge APIs (Participant Account Call History)
  • Snowflake Secure Data Share
  • SharePoint (Service Instructions Job Aids)
• Establish security compliance and access patterns (Okta SSO OAuth 2.0 SAML TLS)
• Define non functional requirements: scalability latency cost optimization monitoring
• Provide technical leadership to AI Leads GenAI Engineers and DevOps teams
• Support discovery workshops architecture walkthroughs and client technical reviews
• Contribute to effort estimation risk identification and mitigation strategies
• Ensure alignment with insurance domain compliance and data privacy standards

Must Have Skills (ATS Mandatory)

• AI / GenAI Architecture (enterprise scale)
• AWS Bedrock AgentCore
• Agentic AI frameworks (Orchestrator & Utility Agent patterns)
• LLMs Embeddings RAG architectures
• Vector databases / AI Search / Re ranking
• AWS Transcribe (Speech to Text)
• Real time streaming architectures (WebSocket audio pipelines)
• AWS Cloud Architecture (IAM networking security)
• API based integrations (REST secure APIs)
• Security & Identity: OAuth 2.0 SAML 2.0 Okta SSO TLS
• Snowflake Secure Data Sharing
• Architecture documentation & solution governance

Good to Have Skills (ATS Preferred)

• Insurance or Financial Services domain experience
• Contact Center platforms (Genesys preferred)
• NV Ingest or document ingestion pipelines
• Cost monitoring & AI usage optimization dashboards
• Model evaluation frameworks & AI testing strategies
• Knowledge of MCP / agent tool interconnection frameworks
• Experience supporting UAT certification and production rollouts

Domain Experience

• Insurance servicing workflows
• Call center operations & CSP enablement
• Knowledge management / Job Aid systems
• Compliance driven enterprise environments