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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