Technical AI Architect (Auburn Hills)
18 hours ago
Auburn Hills
Technical Architect – AI Auburn Hills, MI (Onsite) Full-Time (FTE) Key Responsibilities Platform Architecture & Governance • Design enterprise AI platform architecture including LLM API gateways, GPU/compute allocation, sandbox environments, model registry, and security automation., • Define infrastructure standards, API gateway patterns, and reusable reference architectures., • Establish governance for token metering, rate limiting, audit logging, DLP, SAST/DAST, dependency scanning, and model reviews within CI/CD., • Architect multi-agent AI systems using LangGraph, LangChain, and MCP., • Design orchestration patterns including ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent collaboration frameworks., • Build scalable RAG architectures, semantic search, and embedding strategies across enterprise datasets., • Lead architecture on Amazon Bedrock, SageMaker, Amazon Q, Bedrock Agents, and Knowledge Bases., • Build scalable cloud-native solutions using EKS, Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra., • Develop IaC solutions using Terraform, CloudFormation, and AWS CDK., • Architect integrations with Salesforce Agentforce, Einstein, Data Cloud, and Service Cloud., • Define secure identity, authorization, and API integration patterns across AWS, Salesforce, and external systems., • Collaborate with engineering, security, compliance, procurement, and executive stakeholders., • Create enterprise-grade architecture documentation and operating models., • Mentor engineering teams and conduct architecture reviews and technical due diligence. Mandatory Skills AI / LLM Frameworks • LangGraph, LangChain, MCP, • Amazon Bedrock, SageMaker, Amazon Q, • Bedrock Agents & Knowledge Bases, • Prompt Engineering, Fine-Tuning, Evaluation Frameworks, • Multi-Agent AI Systems & RAG Architectures AWS Cloud & DevOps • AWS EKS, Lambda, ECS Fargate, API Gateway, • Terraform, AWS CDK, CloudFormation, • CI/CD using CodePipeline, CodeBuild, GitHub Actions, • Docker & Kubernetes (EKS) Programming • Advanced Python with FastAPI, • Java Integration Experience Data & Vector Databases • OpenSearch, Pinecone, Weaviate, Chroma, • Embedding Models, Hybrid Search, Reranking, • Graph DBs: Neptune / Neo4j Salesforce Integration • Agentforce, Einstein, Data Cloud, Service Cloud, • Apex, Flow, Platform Events, REST APIs Security & Governance • IAM, KMS, VPC, GuardDuty, Macie, Security Hub, • DLP, Audit Logging, AI Governance Frameworks Experience Required • 20+ years in Software Engineering, • 5+ years in AI/ML systems, • 3+ years building production-grade LLM / Agentic AI applications, • Strong AWS enterprise architecture experience, • Leadership experience managing technical teams and enterprise stakeholders Preferred Certifications • AWS Certified Solutions Architect – Professional, • AWS Certified Machine Learning – Specialty, • Salesforce AI Associate / AI Specialist / Application Architect Certifications