AI Architect - Onsite

We have an AI Architect available in Auburn Hills, Michigan and ONSITE. The position is ONSITE 5 DAYS/WEEK. We will consider anyone that is interested in relocating to Auburn Hills.Onsite in Auburn Hills, MIONSITE 5 DAYS/WEEKJob Description: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 automationDefine infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrationsEstablish guardrails for token metering, rate limiting*** audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CDReview security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselinesAgentic AI and LLM EngineeringArchitect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool useDefine patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use casesDesign and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise dataEstablish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in productionAWS-Native ImplementationArchitect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge BasesDefine infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and KendraEstablish CloudFormation and AWS CDK templates and Terraform modules for isolated VPC sandboxes provisioned per project and per third-party partnerImplement observability and FinOps using CloudWatch, AWS Cost Explorer, AWS Budgets, and chargeback reporting by team, project, and modelSalesforce and SaaS AI IntegrationDefine integration architecture with Salesforce Agentforce, Einstein, Data Cloud, and Service Cloud, including Apex, Flow, and Platform Event integration patterns with AWS-hosted agents and APIsEstablish governance over enterprise SaaS AI licenses, including usage tracking, renewal governance, and redundancy elimination across business unitsArchitect cross-system identity, authorization, and data exchange patterns spanning Salesforce, AWS, and partner endpointsStakeholder and Delivery LeadershipPartner with AIDO leadership, delivery tower leads, security, compliance, procurement, and program management to ensure platform adoption and consistent operating standardsProduce enterprise-grade architecture artifacts, decision records, and operating model documentation suitableMentor engineers across delivery towers and partner teams; lead architecture reviews and technical due diligence on partner-built systems"Technical Experience"Core AI FrameworksExpert proficiency with LangGraph, LangChain, and agent orchestration frameworksDeep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge BasesHands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patternsStrong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimizationWorking knowledge of transformer architectures, attention mechanisms, and multi-modal systemsMachine LearningClassical ML (regression, tree-based ensembles, gradient boosting, clustering) and deep learning (CNNs, RNNs, transformers) across supervised, unsupervised, and reinforcement paradigms; feature engineering, hyperparameter optimization, cross-validation, drift detection, and model evaluation; end-to-end ML lifecycle on SageMaker spanning data preparation, training, deployment, monitoring, and retraining.AWS PlatformSageMaker (Studio, Pipelines, Model Registry, Inference), Bedrock, EKS, Lambda, ECS Fargate, API Gateway, Step FunctionsS3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, KendraEventBridge, SNS/SQS, Kinesis, MSKCloudWatch, X-Ray, CloudTrail, AWS Config, GuardDuty, Macie, Security HubIAM, KMS, PrivateLink, VPC design, and AWS Organizations governanceSalesforce and Enterprise SaaSSalesforce Agentforce, Einstein, Data Cloud, Service Cloud, and Sales Cloud integration patternsApex, Flow, Platform Events, and REST/Bulk API integration with external AI servicesFamiliarity with enterprise identity providers, SSO, OAuth, and SCIM provisioning across SaaS estatesProgramming and DevelopmentAdvanced Python with deep FastAPI experience for scalable, async API developmentJava proficiency sufficient to integrate with existing enterprise backend servicesStrong CI/CD background using AWS CodePipeline, CodeBuild, GitHub Actions, and Infrastructure as Code via Terraform and AWS CDKContainerization with Docker and orchestration with Kubernetes (EKS)Data and Vector SystemsVector store architectures using OpenSearch, Bedrock Knowledge Bases, Pinecone, Weaviate, or ChromaEmbedding model selection, hybrid search, and reranking strategiesGraph database experience (Amazon Neptune, Neo4j) for knowledge representationData ingestion, masking, synthetic data generation, and DLP validation pipelines"Unique Skills"Experience Requirements20+ years in software engineering with 5+ years focused on AI/ML systems3+ years hands-on experience architecting and shipping production LLM and agentic AI applicationsDemonstrated success leading enterprise-scale AI platform builds with measurable business outcomesTrack record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environmentsExperience leading technical teams, mentoring engineers, and engaging executive stakeholdersEducationBachelor's or Master's degree in Computer Science, AI/ML, or a related technical fieldAWS Certified Solutions Architect Professional or AWS Certified Machine Learning Specialty preferredSalesforce Certified AI Associate, AI Specialist, or Application Architect credentials is a plus"About NTT DATA:NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.comNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $86/hour. Actual compensation will depend on several factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performanceThis position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits .#indist#li-northamerica