Group Technical Architect (US)
Full Job Posting
Job Summary
Agentic AI – Orchestration
Key Responsibilities
- Build reusable agent infrastructure, orchestration capabilities, interfaces, connectors, context services, evaluation, and observability for Nokia AI-Native Core products.
- Design reusable agent runtimes using LangGraph, Semantic Kernel, AutoGen, CrewAI, and workflow engines.
- Develop orchestration frameworks supporting stateful, multi-agent, and event-driven execution patterns.
- Create capability registries, tool catalogs, SDKs, and reusable service interfaces.
- Build enterprise MCP ecosystems including servers, clients, gateways, and reusable integrations.
- Implement shared context services, memory management, session persistence, and conversation lifecycle controls.
- Engineer common RAG services including ingestion, indexing, embeddings, retrieval, reranking, and grounding.
- Develop REST/gRPC APIs for orchestration, capability discovery, workflow execution, and agent management.
- Build reusable connectors for GitLab, Jira, databases, cloud services, APIs, and enterprise repositories.
- Integrate Vertex AI model hosting, routing, quota management, streaming, and cost optimization.
- Implement workflow resilience using retries, compensations, fallback strategies, and timeout controls.
- Build evaluation frameworks covering task success, safety, latency, reliability, and regression testing.
- Implement distributed execution using Pub/Sub, Kafka, queues, schedulers, and asynchronous workflows.
- Provide end-to-end observability for models, prompts, workflows, tools, and platform services.
- Deploy platform services on GKE and Cloud Run using CI/CD, Infrastructure as Code, and automated release gates.
- Deliver reusable reference implementations and onboarding assets consumable across Nokia product teams.
- Other Requirements
Skill Requirements
Design reusable agent runtimes using LangGraph, Semantic Kernel, AutoGen, CrewAI, and workflow engines. Develop orchestration frameworks supporting stateful, multi-agent, and event-driven execution patterns. Create capability registries, tool catalogs, SDKs, and reusable service interfaces. Build enterprise MCP ecosystems including servers, clients, gateways, and reusable integrations. Implement shared context services, memory management, session persistence, and conversation lifecycle controls. Engineer common RAG services including ingestion, indexing, embeddings, retrieval, reranking, and grounding. Develop REST/gRPC APIs for orchestration, capability discovery, workflow execution, and agent management. Build reusable connectors for GitLab, Jira, databases, cloud services, APIs, and enterprise repositories. Integrate Vertex AI model hosting, routing, quota management, streaming, and cost optimization. Implement workflow resilience using retries, compensations, fallback strategies, and timeout controls. Build evaluation frameworks covering task success, safety, latency, reliability, and regression testing. Implement distributed execution using Pub/Sub, Kafka, queues, schedulers, and asynchronous workflows. Provide end-to-end observability for models, prompts, workflows, tools, and platform services. Deploy platform services on GKE and Cloud Run using CI/CD, Infrastructure as Code, and automated release gates. Deliver reusable reference implementations and onboarding assets consumable across Nokia product teams.
About HCL Technologies
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at HCL Technologies
Technical Architect (DPO) (US)
, USA
Senior Design Lead - High Voltage, Low Power, UC, UP (US)
, USA
Technical Specialist (US)
, USA
Senior Design Lead - High Voltage, Low Power, UC, UP (US)
, USA
Material Flow Engineer (US)
, USA
Senior Support Engineer (US)
, USA
Test Lead (US)
, USA
Technical Support Specialist (US)
, USA