DXC Technology-posted 3 months ago
$109,700 - $203,600/Yr
Full-time
5,001-10,000 employees

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new performance levels, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at DXC.com. Location: Hybrid with up to 50% travel to client location. Candidates located within 25 miles of a DXC office will be required to work onsite 2 times per week.

  • 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.
  • 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.
  • Choose the right mix of Azure, AWS, GCP, Dataiku, Databricks/Fabric based on data gravity, latency, compliance.
  • 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.
  • 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.
  • 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.
  • Domain expertise in FSI or CPG or Auto or HLS.
  • Frameworks: Semantic Kernel, LangGraph, AutoGen, CrewAI, LangChain, Prompt flow.
  • Experience with Microsoft Fabric and Databricks integration patterns.
  • Demonstrate familiarity with one or more: Azure Track, AWS Track, GCP Track.
  • Health, dental, and vision insurance coverage.
  • Employee wellness programs.
  • Life and disability insurance.
  • Retirement savings plan.
  • Paid holidays.
  • Paid time off.
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