AI Architect
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First recorded by Psst: 13 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- Location not stated
- Skills and tools
- python, typescript, terraform
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Job details
- Where you can work
- Location not stated
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 23 February 2026
- First recorded by Psst
- 13 October 2026
- Last checked at the source
- 9 November 2026
About the job
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.
Requirements
- 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.
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