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DXC Technology · 2 days ago

Senior Engineer (Agentic AI Platforms)

Ashburn, VA

Full-time

Hybrid

Senior Level

DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT and optimizing data architectures. They are seeking a Senior Engineer to build agentic applications and platform components, focusing on cloud services and reliability.

AnalyticsConsultingInformation TechnologyInsurTechOutsourcingSecuritySoftware Engineering

No H1B

U.S. Citizen Only

Responsibilities

Hands‑on engineer building agentic applications and platform components: planners, tools, episodic + vector memory, RAG services, guardrails, evaluation pipelines, and production APIs

Deliver on Azure/AWS/GCP with a focus on reliability, observability, and speed‑to‑value

Client Engagement and Offering Development

Build PoCs/MVPs into hardened services (FastAPI/ASP.NET/Node) on AKS/EKS/GKE or Functions/Lambda/Cloud Run

Implement multi‑agent workflows (task routing, planning, HITL), tool adapters (ServiceNow, SAP, Salesforce, Elastic/Splunk, Datadog/Dynatrace), and memory

Implement RAG pipelines: ingestion, chunking/windowing, embeddings, hybrid/semantic search, rerankers; integrate vector DBs

Instrument telemetry (traces, tokens, cost, latency), define SLIs/SLOs, and create dashboards & alerts

Build reusable agent components (planners, tool registries, evaluators), SDKs/CLI, and CI/CD templates (GitHub Actions/Azure DevOps)

Create evaluation suites (Prompt flow, Langfuse, MLflow/W&B) and guardrail pipelines (toxicity, PII, hallucination checks)

Author runbooks, deployment guides, and developer docs

Qualification

PythonAzure AI FoundryContainers/K8sRAG pipelinesTypeScript/NodeAWS BedrockSemantic KernelTerraformOAuth2/OIDCSoft skills

Required

Strong Python (preferred) and one of TypeScript/Node or C#/.NET

Practical experience with Azure AI Foundry/Azure OpenAI and one of AWS Bedrock/SageMaker or Google Vertex AI; familiarity with Dataiku

Frameworks: Semantic Kernel, LangChain, AutoGen, CrewAI, LangGraph, Prompt flow

Vector/RAG: Pinecone, Milvus, Weaviate, pgvector, Cosmos DB Vector, or Elastic; retrieval quality tuning & evals

Infra: Containers/K8s (AKS/EKS/GKE), Functions/Lambda/Cloud Run, Terraform/Bicep, GitHub Actions/Azure DevOps

Security: OAuth2/OIDC (Entra ID/IAM), secrets (Key Vault/KMS/Secrets Manager), private networking & data minimization

Must be legally authorized to work in the United States without requiring sponsorship now or in the future

Preferred

Databricks (Delta, MLflow) or Microsoft Fabric (Lakehouse) experience or Snowflake

Observability stacks (OpenTelemetry, Datadog, Dynatrace, Splunk) and correlation of LLM traces with infra metrics

Familiarity With One Or More Cloud Tracks: Azure Track: Azure AI Foundry, Azure OpenAI, Prompt flow, Semantic Kernel, AKS/Functions, Entra ID/Key Vault; AWS Track: Bedrock, SageMaker, Guardrails, Kendra, EKS/Lambda, IAM/Secrets Manager; GCP Track: Vertex AI, Generative AI Studio, GKE/Cloud Run, BigQuery, Secret Manager