AI Architect

Remote • Posted 9 hours ago • Updated 5 hours ago
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Job Details

Skills

  • Artificial Intelligence
  • Machine Learning (ML)
  • LangChain
  • Vertex
  • Terraform
  • RBAC
  • LangGraph
  • CrewAI
  • AutoGen

Summary

RESUMES without LINKEDIN profile wont get any response.

 

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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: xorca001
  • Position Id: AI1002
  • Posted 9 hours ago

Company Info

About Xoriant Corporation

Xoriant is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. From Tech Startups to Fortune 100 Enterprises, we enable innovation, accelerate time to market, and ensure client competitiveness across industries. Across all our focus areas – platform engineering, cloud, data & and AI, and Security – every solution we develop benefits from our product engineering DNA and culture of innovation. It also includes successful methodologies, framework components, and accelerators for rapidly solving critical client challenges. For 30 years and counting, we have taken great pride in the longlasting, deep relationships we have with our clients.

For further information about Xoriant, please visit our website

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