AI Architect

Role: AI Architect
Location: Houston, TX (Hybrid)

Mandate Skill: end to end architecture, design, and technical governance, AWS Bedrock Agent Core, 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

• Bachelor s 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 Agent Core
• 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 (Web Socket, 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 Dev Ops 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 Agent Core
• 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 (Web Socket, 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.