Architect and deliver production enterprise AI systems, including multi-agent and RAG pipelines and full-stack applications. Build solutions using Python, TypeScript, Next.js, Node.js, FastAPI, Kubernetes, and cloud platforms. Lead client discovery workshops, proposals, proofs of concept, and C-level presentations while translating business needs into scalable AI implementations. Requires strong engineering experience, hands-on GenAI and LLM delivery, full-stack fluency, and U.S. enterprise consulting experience.
This is a remote position.
We're Hiring: Forward Deployed AI Architect (Remote | Full-Time)
If you can architect enterprise AI systems and win client trust in the same week — we want you.
What you'll own:
- Multi-agent & RAG pipelines (LangChain, LangGraph, CrewAI, AutoGen)
- Full stack delivery: Next.js, Nodejs → FastAPI → Kubernetes → cloud (AWS/GCP/Azure)
- Pre-sales: discovery workshops, proposals, POCs, C-level presentations
You bring: ✅ 8-12+ years engineering | 3-4+ years hands-on GenAI/LLM delivery ✅ Full-stack fluency: Python + TypeScript, not just AI components ✅ U.S. enterprise consulting experience
This isn't a research role. You ship production systems and speak business.
Similar Jobs
Artificial Intelligence • Information Technology • Consulting
Build and deploy production GenAI systems for enterprise clients in financial services and healthcare. Embed with customers to understand business functions, develop AI solutions using Claude and AWS, create evaluation suites, guide adoption from strategy through deployment, and improve reusable blueprints and delivery frameworks. The role requires hands-on software engineering, cloud-native delivery, presales communication, and autonomous ownership in ambiguous environments.
Top Skills:
Anthropic ClaudeAWSAws CdkAzureCi/CdClaude CodeCloudFormationCoworkEcsGCPKubernetesMcpPythonTerraformTypescript
Other
Build and deploy AI agents, automations, and tools that transform organizational processes. Embed with teams to map workflows, deliver time-boxed solutions using Claude and related platforms, measure business value, document and hand off production-ready systems, troubleshoot during stabilization, and create reusable patterns. Partner with AI Platform Operations, IT, risk, and staff while ensuring responsible handling of sensitive data and teaching teams to maintain solutions.
Top Skills:
Ai AgentsAi AutomationAPIsClaudeClaude CodeClaude CoworkCxoneEnterprise ConnectorsMcp ServersMicrosoft 365SalesforceStructured DataWorkday
Artificial Intelligence • Information Technology • Consulting
Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.
Top Skills:
Amazon EcsAmazon NeptuneAmazon SagemakerAWSAws CdkAzureCi/CdClaudeClaude CodeCloudFormationCoworkData ContractsData LakesData MeshData WarehousesGCPGenerative AiInfrastructure As CodeKubernetesLlmsMlflowNeo4JPythonPyTorchReal-Time AnalyticsStreamingTerraformTypescript
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
