AI Architect

Creativechaos; Pakistan; On-site; PKR 1,674,000 - 3,348,000; Full time

Job summary

A technology solutions firm in Pakistan is seeking an experienced AI Architect to lead cross-functional Innovation Delivery Squads and build AI-native products. The ideal candidate will have over 8 years of engineering experience, with a proven track record of shipping successful applications at scale. Responsibilities include designing and implementing RAG systems, ensuring safe AI operation, and engaging with clients for project scoping. Candidates must possess excellent leadership skills and hands-on experience with AI technologies.

Qualifications

• 8–12+ years of engineering experience.
• 4+ years of experience leading multi-team delivery.
• Experience shipping production web/mobile systems at scale.
• Hands-on experience with AI applications.

Responsibilities

• Lead cross-functional Innovation Delivery Squads.
• Design and ship RAG/agent systems.
• Operate AI safely with evals and guardrails.
• Own delivery outcomes focusing on quality and cost.
• Perform client-facing responsibilities including scoping.
• Hire and coach technical leads and project managers.

Skills

Engineering

Client communication

Technical leadership

AI application development

Tools

Postgres

AWS

Terraform

Job 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.

Qualifications

• 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.