• Design, build, and scale machine learning and generative AI solutions on the Elastic Stack • own the ML and Gen AI capabilities end-to-end—from anomaly detection and semantic search to vector-powered RAG • Design and implement Elastic ML solutions: anomaly detection, data frame analytics, and forecasting • Build semantic and hybrid search using vector search, dense/sparse vectors, and ELSER • Develop Gen AI / RAG pipelines using Elasticsearch as a vector store • Deploy and manage NLP and transformer models in Elasticsearch via Eland • Design data models, mappings, and ingestion flows optimized for vector and ML workloads • Tune relevance, embeddings, and retrieval quality; evaluate and improve search/RAG performance • Build Kibana dashboards and ML jobs for monitoring, alerting, and explainability • Partner with data, platform, and product teams to operationalize ML/Gen AI features at scale

• Manage and evolve the end-to-end architectural blueprint for cloud-native applications at scale — covering compute, data, networking, security, and observability layers on AWS. • Define and promote agentic AI architecture patterns, including multi-agent systems, tool orchestration, memory and retrieval strategies, LLM routing, guardrails, and feedback loops. • Translate these patterns into relevant standards and reusable reference architectures. • Establish and govern DevOps standards across the organization: CI/CD pipeline design, GitOps practices, deployment strategies (blue/green, canary, progressive delivery), environment parity, and release engineering. • Design and oversee platform infrastructure. This includes ECS, Kubernetes clusters (EKS), service mesh, API gateway strategy, secrets management, IAM/RBAC governance, and data stores like DynamoDB, Aurora RDS, Postgres, Elastic/OpenSearch. Additionally, it involves multi-account/multi-region AWS topology. • Lead architecture reviews and provide binding technical decisions on high-risk changes — balancing velocity, reliability, cost, and security. • Define SLOs/SLIs/error budgets, logging standards, distributed tracing, capacity planning, and incident response frameworks. • Introduce new technologies through structured PoC and risk assessment processes; build internal communities of practice around architectural patterns. • Produce architecture decision records (ADRs), system context diagrams, threat models, and runbooks that serve as the source of truth for platform design. • Be a technical advisor to Product and Partners — translating architectural constraints and capabilities into clear strategic options. • Mentor staff and senior engineers on architectural thinking, systems design, and engineering leadership; conduct design reviews that raise the technical bar across teams.

• Architect, build, and maintain AI‑first web and mobile applications using modern frameworks and engineering best practices. • Lead the development of AI‑powered features using Python, LangGraph, and modern LLM tooling. • Design and implement agentic workflow applications, including orchestration, tool use, stateful flows, and human‑in‑the‑loop patterns. • Develop end‑to‑end solutions across the front end, back end, APIs, and cloud infrastructure. • Write clean, scalable, and maintainable code in TypeScript (Node), JavaScript (React), and Python using established design patterns. • Optimize applications for speed, scalability, reliability, and long‑term maintainability. • Work closely with cross‑functional teams to define, design, and ship new features with strong ownership of outcomes. • Provide architectural guidance, code reviews, and mentorship to engineering teams. • Partner with clients to lead demos, support rollout discussions, and ensure successful adoption of AI‑powered solutions.

• Architect, build, and maintain AI‑first web and mobile applications using modern frameworks and engineering best practices • Lead the development of AI‑powered features using Python, LangGraph, and modern LLM tooling • Design and implement agentic workflow applications, including orchestration, tool use, stateful flows, and human‑in‑the‑loop patterns • Develop end‑to‑end solutions across the front end, back end, APIs, and cloud infrastructure • Write clean, scalable, and maintainable code in TypeScript (Node), JavaScript (React), and Python using established design patterns • Optimize applications for speed, scalability, reliability, and long‑term maintainability • Work closely with cross‑functional teams to define, design, and ship new features with strong ownership of outcomes • Provide architectural guidance, code reviews, and mentorship to engineering teams • Partner with clients to lead demos, support rollout discussions, and ensure successful adoption of AI‑powered solutions.