Job Description

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Position Title: AI Architect

Location: REMOTE (work PST time zone)

Duration: 8 Months Contract

JD Architect and deliver production-grade agentic AI systems for enterprise clients. Own the solution design, lead client discovery, and bridge the gap between business requirements and technical execution.

• Run discovery workshops with business and technical stakeholders, extract requirements, and produce scoped solution architectures
• Present trade-offs, risks, and recommendations to VP and CXO-level audiences without jargon
• Own proposal-ready architecture documents, estimation frameworks, and assumptions logs

• Design multi-agent orchestration systems with clear planning, execution, memory, and tool-use layers
• Architect Graph and Vector RAG pipelines for enterprise knowledge retrieval
• Define human-in-the-loop checkpoints and audit trails for SOX, HIPAA, and GDPR-governed workflows
• Design MCP and A2A integration patterns across enterprise data and application systems

• Architect on AWS Bedrock, Azure OpenAI, or Google Vertex AI based on client environment
• Define prompt versioning, evaluation, model monitoring, and FinOps guardrails
• Design integration patterns for Salesforce, ServiceNow, Oracle, and SAP

• 4+ years architecting AI/ML systems in production enterprise environments
• Hands-on depth in LangGraph, LangChain, CrewAI, or AutoGen
• Graph DB experience with Neo4j or TigerGraph; Vector DB with Pinecone, Weaviate, or pgvector
• Cloud AI platform experience on AWS Bedrock, Azure OpenAI, or Vertex AI
• Delivered at least two end-to-end agentic or LLM systems, not prototypes, in regulated environments
• Consulting or client-facing delivery background with strong written and verbal communication

• BFSI, healthcare, or ad-tech domain experience with SOX or equivalent compliance exposure
• AWS Certified Solutions Architect or AWS ML Specialty certification
• Familiarity with Salesforce MCP connectors or Pinterest-scale ad-tech and revenue data systems

• Orchestration LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel
• LLM Platforms AWS Bedrock, Azure OpenAI, Google Vertex AI, SageMaker
• Data and RAG Neo4j, TigerGraph, Pinecone, Weaviate, pgvector, Snowflake, Databricks
• Integration Salesforce, ServiceNow, Oracle, SAP, MCP/A2A, REST, GraphQL
• Infrastructure Kubernetes, Docker, Terraform, GitHub Actions, MLflow
• Governance Prompt versioning, LLM eval frameworks, RBAC, audit logging, FinOps

For applications and inquiries, contact: hirings@openkyber.com

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