AI Technical Architect

Hello,

We have an opening for the role mentioned below. Please review the job description and let me know if it aligns with your experience and interests. If so, kindly share your updated resume. Thank you.

Title: Technical Architect - AI

Location: Auburn Hills, MI (onsite)

Duration: 05/11/2026 to 08/31/2026

POSITION OVERVIEW : Technical Architect - AI Description
POSITION OVERVIEW : Technical Architect - AI POSITION GENERAL DUTIES AND TASKS :

Job Requirements
'Platform Architecture and Governance
� Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation
� Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations
� Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD
� Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines
Agentic AI and LLM Engineering
� Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use
� Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases
� Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data
� Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production
AWS-Native Implementation
� Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases
� Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra
� Establish CloudFormation and AWS CDK templates and Terraform modules for isolated VPC sandboxes provisioned per project and per third-party partner
� Implement observability and FinOps using CloudWatch, AWS Cost Explorer, AWS Budgets, and chargeback reporting by team, project, and model
Salesforce and SaaS AI Integration
� Define integration architecture with Salesforce Agentforce, Einstein, Data Cloud, and Service Cloud, including Apex, Flow, and Platform Event integration patterns with AWS-hosted agents and APIs
� Establish governance over enterprise SaaS AI licenses, including usage tracking, renewal governance, and redundancy elimination across business units
� Architect cross-system identity, authorization, and data exchange patterns spanning Salesforce, AWS, and partner endpoints
Stakeholder and Delivery Leadership
� Partner with AIDO leadership, delivery tower leads, security, compliance, procurement, and program management to ensure platform adoption and consistent operating standards
� Produce enterprise-grade architecture artifacts, decision records, and operating model documentation suitable
� Mentor engineers across delivery towers and partner teams; lead architecture reviews and technical due diligence on partner-built systems'

Technical Experience
'Core AI Frameworks
� Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks
� Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
� Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
� Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization
� Working knowledge of transformer architectures, attention mechanisms, and multi-modal systems
Machine Learning � Classical ML (regression, tree-based ensembles, gradient boosting, clustering) and deep1

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VSG is recognized by INC.5000 as one of America’s Fastest-Growing Private Companies.

VSG is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

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