Director of Innovation Delivery
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Before you apply
LocationPakistan
Typefull-time
SeniorityDirector
Experience8–12 yrs
DepartmentAll Published Jobs
Company size501–1,000 people
PostedFeb 2, 2026 · 9mo ago
Verified live39m ago
At a glanceSummarised by Seekless from the posting.
8–12+ years engineering experience
4+ years 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)
Hands-on experience with models: Anthropic Claude; OpenAI; Google; open-weights (Llama, Mistral)
Hands-on experience with orchestration & agents: LangGraph (or DSPy) for graphs; Temporal for durable, long-running tasks and SLAs
Hands-on experience with retrieval: Postgres + pgvector (default); Weaviate/Qdrant/Pinecone when scale/ops require; hybrid search with OpenSearch/Typesense
Hands-on experience with embeddings/rerankers: OpenAI/Voyage/E5/BGE; Cohere/Jina/Voyage rerank
Hands-on experience with guardrails & evals: JSON/Pydantic schemas, red-team sets, promptfoo/Ragas/DeepEval; content/PII filters
Hands-on experience with observability: OpenTelemetry traces incl. prompt/tool spans; Langfuse/Arize Phoenix (or equivalent) + Sentry/Grafana
Hands-on experience with app & data: Next.js 15 (RSC), TypeScript/Go/Python; Postgres; Kafka/Redpanda/NATS; dbt/lakehouse optional
Hands-on experience with ops: Cloud Run/ECS/K8s; Terraform/OpenTofu; GitHub Actions; LaunchDarkly/Unleash; Statsig/GrowthBook
Skills
Anthropic Claude
OpenAI
Google Gemini
Llama
Mistral
LangGraph
DSPy
Temporal
Postgres
pgvector
Weaviate
Qdrant
Pinecone
OpenSearch
Typesense
Cohere
Jina
Voyage
Next.js
TypeScript
Go
Python
Kafka
Redpanda
NATS
dbt
Cloud Run
ECS
K8s
Terraform
OpenTofu
GitHub Actions
LaunchDarkly
Unleash
Statsig
GrowthBook
Sentry
Grafana
Langfuse
Arize Phoenix
OpenTelemetry
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.
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.