1 day ago
Base Salary
$89k - $207k/yr
Responsibilities
- Design and implement AI platforms using LLMs, RAG, agentic AI, multi-agent systems, LangGraph, and ADK.
- Architect and govern AI/LLM gateways, MCP gateways and servers, agent frameworks, security and identity layers, and observability and monitoring platforms.
- Design scalable, event-driven, asynchronous, and multi-agent orchestration solutions.
- Lead deployment of AI workloads across Google Cloud Platform, AWS, Kubernetes, and serverless platforms.
- Establish standards for AI governance, security, reliability, compliance, and operational excellence.
- Collaborate with business and technology teams to deliver scalable AI solutions.
Requirements
- 10+ years of experience in software, platform, or enterprise architecture.
- Strong expertise in LLMs, RAG architectures, agentic AI systems, multi-agent frameworks, AI platform design, LLMOps, and AI governance.
- Experience with Google Cloud Platform, AWS, Kubernetes, serverless architectures, Python, and JavaScript/TypeScript.
- Must-have experience with BigQuery, Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, Cloud Storage, and GCP security, compliance, and governance.
Benefits
- Comprehensive benefits package for regular, full-time employees, including paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.
- The role is located in Dallas, TX (Irving, TX).
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.