AI Architect at Creative Chaos

, , Pakistan -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, RAG Systems, Agent Systems, Model Selection, Retrieval, Guardrails, LLM Observability, Delivery Ownership, Client Facing, Hiring, Coaching, Cloud, Terraform, OpenTelemetry, TypeScript, Python

Industry

Software Development

Description

Job Summary: As an AI Architect you will build AI-native products. You’ll lead cross-functional Innovation Delivery Squads—owning outcomes end-to-end across web, mobile, AI agents, and streaming backends. You’re a hands-on technical leader who can scope, architect, staff, and ship; then run the product safely at scale. Job Responsibilities: Stand up and run squads (Discovery → Prototype → Product → Platform & SRE). Design and ship RAG/agent systems: pick models (e.g., Anthropic Claude, OpenAI, Google, or open-weights like Llama/Mistral), define tools/functions, and choose retrieval (default Postgres + pgvector, scale to Weaviate/Qdrant/Pinecone when needed). Operate AI safely: evals & guardrails, structured outputs (JSON/Schema), PII redaction, refusal policies, cost/latency budgets, and LLM observability. Own delivery outcomes: SLOs, quality, cost, velocity; release with feature flags and canaries. Be client-facing: discovery, scoping, SoW, roadmap, QBRs. Hire/coach Tech Leads, EMs, and PMs; level up practices. 8–12+ yrs engineering; 4+ yrs leading multi-team delivery; shipped production web/mobile systems at scale. Shipped at least one production AI app using Claude/GPT/Gemini/Llama/Mistral, backed by retrieval (pgvector or a vector DB) and a basic eval/guardrail pipeline. Implemented orchestration (LangGraph/DSPy or Temporal for durable workflows), rerankers (e.g., Cohere/Jina/Voyage), and prompt/tool versioning. Built with modern cloud + data: serverless/K8s, Terraform, OpenTelemetry, feature flags/experimentation. Excellent client communication and commercial sense (SoWs, staffing, utilization). Tech stack (you have hands on experience) Models: Anthropic Claude; OpenAI; Google; open-weights (Llama, Mistral). Orchestration & agents: LangGraph (or DSPy) for graphs; Temporal for durable, long-running tasks and SLAs. Retrieval: Postgres + pgvector (default); Weaviate/Qdrant/Pinecone when scale/ops require; hybrid search with OpenSearch/Typesense. Embeddings / rerankers: OpenAI/Voyage/E5/BGE; Cohere/Jina/Voyage rerank. Guardrails & evals: JSON/Pydantic schemas, red-team sets, promptfoo/Ragas/DeepEval; content/PII filters. Observability: OpenTelemetry traces incl. prompt/tool spans; Langfuse/Arize Phoenix (or equivalent) + Sentry/Grafana. App & data: Next.js 15 (RSC), TypeScript/Go/Python; Postgres; Kafka/Redpanda/NATS; dbt/lakehouse optional. Ops: Cloud Run/ECS/K8s; Terraform/OpenTofu; GitHub Actions; LaunchDarkly/Unleash; Statsig/GrowthBook.

Responsibilities

The AI Architect will lead cross-functional Innovation Delivery Squads to build AI-native products, owning outcomes end-to-end across various platforms. Responsibilities include standing up and running squads, designing and shipping RAG/agent systems, and operating AI safely with necessary guardrails.