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.

Responsibilities Client and Solutioning:

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

Agentic AI Design:

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

Platform and LLMOps:

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

Must Have:

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

Good to Have:

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

Tech Stack Area Technologies:

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

Job Tags

Contract work, Remote work

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