GCP AI and Analytics Architect

Programmers.io; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Programmers.io is seeking a hands-on GCP AI and Analytics Architect to architect, build, and deliver agentic AI, automation, and analytics solutions on Google Cloud. This role spans solution design, implementation, tuning, and production deployment, working with clients and delivery teams to move solutions from PoC to production.

The ideal candidate has deep GCP experience across Apigee, Pub/Sub, Kafka, BigQuery, Looker, and Kubernetes, with a strong focus on cost efficiency, security, and

Qualifications

• 10+ to 14 years of professional experience, including substantial time in a cloud or solutions architect role.
• Strong command of the GCP integration stack (Apigee, Pub/Sub, managed Kafka, Cloud Workflows, Cloud Functions) to implement near-real-time replication pipelines and large-volume data flows.
• Ability to architect, stand up, tune, and troubleshoot GKE-based workloads and GCP networking.
• Familiarity with transportation, logistics, and supply chain workflows is a plus.

Responsibilities

• Architect end-to-end agentic AI, automation, and analytics solutions on Google Cloud.
• Build and tune agentic and traditional automation workflows on the GCP stack, including conversational and voice solutions.
• Integrate AI agents with client systems of record and back-office systems.
• Build near-real-time replication pipelines and high-volume data flows.
• Design and deliver analytics on BigQuery and Looker, including LookML modeling and dashboards.
• Stand up, tune, and troubleshoot GKE-based workloads and supporting GCP networking.
• Implement monitoring, observability, and guardrails for production workloads.
• Ensure solutions meet performance, scalability, security, and cost-efficiency targets.
• Lead delivery and train client and internal teams for handoff and scale.

Skills

GCP

AI

Analytics

Cloud Architecture

GKE

Apigee

Pub/Sub

Kafka

BigQuery

Looker

Tools

Looker

BigQuery

Apigee

Pub/Sub

Kafka

Cloud Functions

GKE

Job description

One of our leading client is looking for GCP AI and Analytics Architect remotely

Role summar

yWe are looking for a hands-on GCP AI and Analytics Architect to architect, build, and deliver agentic AI, automation, and analytics solutions on Google Cloud. This is a hands-on builder-architect role spanning solution design, implementation, tuning, and troubleshooting, working with clients and PAI's delivery team to take solutions from proof of concept to production

Key responsibiliti

• esArchitect end-to-end agentic AI, automation, and analytics solutions on Google Cloud, from design through productio
• n.Build and tune agentic and traditional automation workflows on the GCP stack, including conversational and voice solutions (intent and dialog design, fallback and escalation, telephony integration, latency and accuracy tuning
• ).Integrate AI agents and workflows with client systems of record and legacy back-office systems and partnering with integration tea
• msBuild near-real-time replication pipelines and high-volume data flows using the GCP integration stack (Apigee, Pub/Sub, managed Kafka, Cloud Workflows, Cloud Functions
• ).Design and deliver the analytics layer on BigQuery and Looker, including LookML modeling, dashboards, and conversational, ask-your-data style reporting, with appropriate governance and accuracy control
• s.Stand up, tune, and troubleshoot GKE-based workloads and the supporting GCP networkin
• g.Implement monitoring, observability, evaluation, and guardrails for production agentic workloads, including human-in-the-loop review where neede
• d.Ensure solutions meet performance, scalability, reliability, security, and cost-efficiency targets, and advise on GCP cost optimizatio
• n.Support proof-of-concept delivery milestones and collaborate with the Google Cloud team on technical executio
• n.Lead implementation delivery and train client and internal teams for handoff and scale, producing reference architectures, accelerators, and reusable documentatio

n. Required qualifications (technic

• al)10 to 14 years of professional experience, including substantial time in a cloud or solutions architect ro
• le.Strong command of the GCP integration stack (Apigee, Pub/Sub, managed Kafka, Cloud Workflows, Cloud Functions, and similar) to implement near-real-time replication pipelines and large-volume data flo
• ws.Ability to architect, stand up, tune, and troubleshoot GKE-based workloads and GCP networki
• ing.Ability to assist with GCP cost optimizati

on. Transportation, logistics, and supply chain skills (strongly prefer

red)Functional and operati

• onalWorking understanding of freight and carrier operati
• ons.Familiarity with core logistics workflows such as order-to-cash, customer service and case handling, and appointment or delivery schedul
• ing.Service and on-time performance metrics (for example OTIF), detention and demurrage, and customer service workflows in a carrier or brokerage environm
• ent.Ability to translate real operational workflows (how dispatchers, CSRs, and drivers actually work) into AI agent and automation desi
• gns.Familiarity with transportation management systems (TMS) and the back-office systems of record used by carriers, brokers, and 3

PLs.Applied technical (transportation and logistics cont

• ext)Comfortable with routing and mapping use cases (Google Maps Platform, route and fleet optimizati
• on).Comfort working with geospatial and time-series data in BigQuery for operational analyt