Gen AI Architect || Onsite at North Carolina ||

Position Summary

Looking for a strong Gen AI architect and hands on engineer who can work on advanced AWS Novasonic models for Conversational AI. this persons/s will directly report to me. Prefer Contract to hire. seeking onshore if you can look in Charlotte with banking expertise.

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Required Skillset – Resume Search Keywords (Short & Strong)

Core GenAI & LLM Skills

• Hands‑on expertise with Amazon Nova / Nova 2 foundation models on Amazon Bedrock, including multimodal and high‑reasoning variants.

• Experience customizing or fine‑tuning LLMs using Bedrock + SageMaker SFT pipelines.

• Strong LLM prompt engineering, optimization, prompt routing, and evaluation skills.

Conversational AI (Chat + Voice)

• Proven ability designing and building conversational agents with Amazon Lex V2 (Assisted NLU, multi‑turn dialogs, analytics).

• Hands‑on integration of Lex with Amazon Connect for IVR/voice bots and contact center automation.

• Experience leveraging Bedrock Knowledge Bases to enable Retrieval‑Augmented Generation (RAG) for grounded responses.

Bedrock Agents / Agentic Systems

• Experience building Amazon Bedrock Agents with ReAct planning or custom orchestration strategies.

• Ability to configure action groups (API schema + Lambda functions) and design multi‑step task workflows.

• Understanding of Bedrock AgentCore for deterministic policy enforcement and safe autonomous execution.

Governance, Safety & Security

• Implementation of Amazon Bedrock Guardrails, including harmful‑content filtering, denied topics, PII redaction, and grounding checks.

• Knowledge of AI governance for regulated industries (banking/finance), including safety policies and audit controls.

• Strong IAM, encryption, data isolation, and compliance patterns for enterprise AI.

RAG, Data & Integrations

• Building RAG systems using Bedrock Knowledge Bases (document ingestion, chunking, embedding.

• Integrations using AWS Lambda, API Gateway, DynamoDB, S3, and event‑driven patterns to support conversational flows.

• Experience optimizing LLM latency and cost via model selection, caching, and cross‑region inference.
  Experience with Connect + Lex + Bedrock Agent architectures for real‑time voice assistants.

• Understanding of near‑real‑time conversational patterns informed by Nova‑powered speech capabilities.

Operational Excellence (MLOps / LLMOps)

• Strong skills in LLM evaluation, monitoring, telemetry, and continuous quality measurement.

• Experience with Lex Analytics dashboards for intent/slot performance.

• Ability to version prompts, guardrails, agent instructions, and model configs.

Optional Search Keywords (Good-to-Have)

• “Bedrock Agents custom orchestration”

• “Lex V2 Assisted NLU / QnAIntent generative AI”

• “Nova 2 reasoning model experience”

• “Amazon Connect AI integration”

• “AgentCore policy enforcement / governance”

• “Multi-agent orchestration frameworks”