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DXC Technology · 2 days ago

Sr Manager Data Architecture – Principal Architect (Agentic AI)

League City, TX

Contract

Hybrid

Senior Level, Lead/Staff

$110K/yr - $204K/yr

DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT and optimizing data architectures. The Sr Manager Data Architecture – Principal Architect will lead strategy and governance for agentic AI across large enterprises, advising stakeholders and defining operating models.

AnalyticsConsultingInformation TechnologyInsurTechOutsourcingSecuritySoftware Engineering

No H1B

Responsibilities

Lead strategy, architecture, and governance for agentic AI and RAG across large enterprises (10k+ apps, 250+ data sources)

Define operating models, blueprint reference architectures, and guide platform choices across Azure AI Foundry/Azure OpenAI, Microsoft Fabric, Databricks, AWS Bedrock/SageMaker, Google Vertex AI, Dataiku

Own reusable accelerators—agent frameworks, retrieval/memory patterns, guardrails, evaluation harnesses, and multi‑cloud deployment templates

Client Engagement (≈50%)

Advise CxO/VP stakeholders on agentic operating models (planner–executor, tool registries, memory—episodic/semantic, HITL)

Architect RAG 2.0 (hybrid/semantic search, graph‑RAG, reranking, retrieval policy, API grounding to line-of-business systems)

Define LLMOps/MLOps: experimentation, evals, telemetry, rollback, cost controls, model risk management

Solution across clouds: choose the right mix of Azure, AWS, GCP, Dataiku, Databricks/Fabric based on data gravity, latency, compliance

Offering Development (≈50%)

Author reference architectures & control-plane diagrams for agents, tools, memory, evals, safety, and governance

Build accelerators: ingestion pipelines, chunking/embedding strategies, retrieval services, guardrail stacks (Azure AI Content Safety, Bedrock Guardrails, Vertex Safety, Llama Guard)

Stand up evaluation frameworks (Prompt flow, Langfuse, MLflow/W&B), IaC (Terraform/Bicep), and policy-as-code templates

Publish internal playbooks; mentor engineers and pre‑sales

Qualification

Data architecture & governanceAzure AI Foundry/OpenAIAWS Bedrock/SageMakerGoogle Vertex AIVector/RAG technologiesInfrastructure & IntegrationSecurity/complianceClient engagementMentoring engineersOffering development

Required

Shipped production agentic systems or complex RAG platforms with measurable outcomes

Deep expertise in data architecture & governance (catalog/lineage, data mesh/marketplace, privacy, residency, PII/PCI/PHI)

Platform fluency in Azure AI Foundry/Azure OpenAI and at least one of: AWS Bedrock/SageMaker or Google Vertex AI; Dataiku for governed pipelines

Vector/RAG depth: Pinecone, Milvus, Weaviate, pgvector, Elastic/Cosmos Vector; hybrid search & rerankers

Infra & Integration: AKS/EKS/GKE, Functions/Lambda/Cloud Run, API gateways, Kafka/Event Hubs/Kinesis; IaC with Terraform/Bicep; GitHub Actions/Azure DevOps

Security/compliance: Zero Trust, Entra ID/IAM, Key Vault/KMS, private networking; banking model risk (e.g., SR 11‑7) familiarity