AI Enterprise Architect
2 days ago
New York
Job Description: Collaborate & Innovate: Partner with Enterprise Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI and Agentic solutions. Lead with Vision - Shape the enterprise narrative on GenAI and Agentic—translate complex architectures into clear strategies, evangelize best practices, and influence both internal and external communities through workshops, whitepapers, and thought capital. Advise & Align - Serve as a trusted advisor to senior customer stakeholders—guide enterprise customers through the GenAI and Agentic landscape, connect innovation to business outcomes, and ensure solutions align with strategic priorities and long-term value. Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins for our internal and external customers. Architect End-to-End: Design, architecture and communicate full-stack applications and microservices—integrating Adobe Experience Cloud products with GenAI technologies, and future hands on with Adobe Experience Platform Orchestrator, Agents, and Composer. Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Agentic roadmap. Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends. Train & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster. Requirements: Full-Stack Expertise: 3+ years as a full-stack developer or technical consultant building and launching production software (React.js/Next.js/Angular; Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML). GenAI Mastery: Extensive hands-on experience with modern AI technologies, including: Large Language Models (LLMs) – OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, etc. || Diffusion models (Adobe Firefly, Stable Diffusion, DALL·E, Midjourney) || Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and semantic search || Fine-tuning, prompt engineering, and model optimization || AI agent frameworks (AutoGen, LangChain, LlamaIndex) || Multimodal AI (text, image, video, audio processing) Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation) and AI/ML tools (SageMaker, Bedrock) || Azure: Experience with compute (VMs, Functions), storage (Blob), and AI services (Azure OpenAI, Cognitive Services) || Containerization & Orchestration: Docker, Kubernetes, and serverless deployments || CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform, or equivalent || Monitoring & Logging: CloudWatch, Azure Monitor, Datadog, or similar AI Tinkerer: AI-native tinkerer who embeds AI in your day-to-day workflows and spends your free time inventing and tinkering with the possibilities of AI. You keep ahead of market trends across third-party models, GPUs, and new AI applications. Adobe Fluency: Deep understanding of Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience) and nice to have: Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs. Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do. You are outstanding at contributing to a culture of customer-centricity among your team and your extended ecosystem. Strong communicator: You translate complex AI concepts for both architects and executives and guide customers through technical decisions aligned to business objectives. Startup DNA: Thrives in fast-paced, ambiguous environments—relentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges. Up to 30% customer related travel. Benefits: Health insurance 401(k) matching Flexible work arrangements Paid time off Professional development