AI Platform Architect

Capgemini; Dallas (TX); On-site; USD 54,000 - 85,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Job summary

Tundra Technical Solutions in Dallas seeks an experienced GCP and AI Platform Architect to design and lead production-grade AI systems built on LLMs and agentic frameworks. You will architect scalable AI platforms across cloud environments with emphasis on RAG, agent orchestration, observability, and gateway patterns, guiding teams from concept to deployment.

The role requires hands-on Kubernetes and serverless skills, strong communication, and ability to translate complex AI capabilities into

Qualifications

• 8+ years of software architecture focusing on distributed systems.
• Proven experience with LLMs, RAG architectures, and agentic systems.
• Deep understanding of agent orchestration and async/streaming patterns.
• Hands-on expertise with Kubernetes and cloud-native/serverless architectures.
• Strong communication and architecture storytelling skills.

Responsibilities

• Design end-to-end architectures for AI platforms leveraging RAG, agentic systems, and LLM-based applications
• Define and implement agentic patterns, including streaming, async workflows, multi-agent orchestration, and agent harness & skill development
• Architect platform components such as AI/LLM Gateways, Agent frameworks, identity layers, and skill orchestration
• MCP gateways/servers/tools
• Observability and monitoring systems
• Build scalable solutions on Kubernetes and serverless cloud services
• Lead architecture across Amazon Web Services and/or Google Cloud Platform (GCP)
• Drive best practices for reliability, scalability, and performance of AI systems
• Translate complex AI capabilities into clear architectural narratives and business solutions

Skills

Distributed systems

LLMs

RAG architectures

Agent orchestration

Kubernetes

Serverless cloud

Communication skills

Architecture storytelling

Tools

LangGraph

ADK

GCP BigQuery

Job description

Seeking experienced in GCP and AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. This role focuses on architecting scalable, production-grade AI platforms across cloud environments, with strong emphasis on RAG, agent orchestration, agent harness/skill building, observability, and gateway patterns.

Key Responsibilities:

• Design end-to-end architectures for AI platforms leveraging RAG, agentic systems, and LLM-based applications
• Define and implement agentic patterns, including streaming, async workflows, multi-agent orchestration, and agent harness & skill development
• Architect platform components such as:
• AI/LLM Gateways
• Agent frameworks, identity layers, and skill orchestration
• MCP gateways/servers/tools
• Observability and monitoring systems
• Build scalable solutions on Kubernetes and serverless cloud services
• Lead architecture across Amazon Web Services and/or Google Cloud Platform (GCP)
• Drive best practices for reliability, scalability, and performance of AI systems
• Translate complex AI capabilities into clear architectural narratives and business solutions

Required Qualifications:

• 8+ years in software architecture with strong focus on distributed systems
• Proven experience with LLMs, RAG architectures, and agentic systems (including agent harness and skill building)
• Deep understanding of agent orchestration, async/streaming patterns
• Strong hands‑on expertise with Kubernetes and cloud-native/serverless architectures
• Strong communication and architecture storytelling skills

Must have:

• Experience with multi-agent frameworks (for example LangGraph, ADK) and emerging agent ecosystems
• Familiarity with LLMOps, evaluation frameworks, and AI governance
• Experience in GCP services such as BigQuery, Composer, Dataflow, Dataproc, Cloud function, Pub/Sub, and Cloud Storage
• Experience in implementation of security, governance, and compliance standards across GCP environments
• Experience with enterprise-scale AI platform deployments AI architecture, AI platforms, Artificial Intelligence, Data and AI, Google Cloud Platform, Information Technology, cloud computing, cloud providers, cloud-native AI services

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.