Director of Innovation Delivery

Creativechaos; Pakistan; On-site; PKR 2,000,000 - 3,000,000; Full time

Job summary

A prominent technology firm in Pakistan is seeking a Director of Innovation Delivery to lead cross-functional teams in creating AI-native products. This hands-on role requires extensive experience in engineering and delivery of production systems at scale. You will be responsible for designing and implementing AI systems, managing project outcomes, and ensuring operational safety. The ideal candidate will have a strong background in AI applications and client-facing roles, along with the ability to coach technical teams.

Qualifications

• 8–12+ years of engineering experience, with 4+ years in multi-team delivery.
• Experience in production AI applications using models like Claude or GPT.
• Hands-on with modern cloud environments and orchestration tools.

Responsibilities

• Lead cross-functional Innovation Delivery Squads.
• Design and ship AI-native products and systems.
• Ensure safe AI operations and manage delivery outcomes.

Skills

Engineering and leadership

Client communication

AI application development

Tools

Postgres

Terraform

OpenTelemetry

Next.js

Job description

Overview

Job Summary: As a Director of Innovation Delivery 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.

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 (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.