Senior AI Solution Architect: Azure & Databricks GenAI Lead

Cognizant

Washington (District of Columbia)

In loco

USD 157.000 - 180.000

Tempo pieno

3 giorni fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Medical/Dental/Vision/Life Insurance
Paid holidays and PTO
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Descrizione del lavoro

Cognizant is seeking a Senior AI Solution Architect to lead enterprise-scale AI, Generative AI, and agentic AI initiatives. You will define scalable architectures leveraging Azure, LLMs, RAG, and multi-agent frameworks while guiding cross-functional teams through enterprise AI adoption.

The role requires hands-on AI engineering coupled with enterprise architecture, data platform, security, and governance expertise to translate business goals into secure, production-ready AI solutions.

Competenze

  • 10+ years of experience in Solution Architecture, Enterprise Architecture, Cloud Architecture, Data Engineering, or Software Engineering.
  • 5+ years delivering AI, ML, Data Science, or analytics solutions.
  • 3+ years implementing enterprise Generative AI, RAG, LLM, or agentic AI solutions.
  • Deep expertise with Microsoft Azure and related cloud services.
  • Strong knowledge of Azure Databricks, Delta Lake, Lakehouse patterns.
  • Hands-on knowledge of LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP.
  • Experience designing API-first, event-driven, microservices, cloud-native integration for AI platforms.
  • Strong knowledge of AI security, governance, privacy, and regulatory compliance.
  • Proven experience leading cross-functional teams and executive tech discussions.

Mansioni

  • Define enterprise AI strategy, reference architectures, governance standards aligned with business goals.
  • Architect Generative AI and agentic AI solutions using Azure tools, LLMs, and vector databases.
  • Design multi-agent systems using LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP.
  • Establish orchestration patterns for tool calling, memory management, context engineering, and autonomous workflows.
  • Design modern data platforms using Azure Databricks, Delta Lake, and Microsoft Fabric.
  • Architect data pipelines, metadata, lineage, quality, and self-service analytics capabilities.
  • Build secure, scalable cloud-native solutions with AKS, API Management, Cosmos DB, and Azure SQL.
  • Establish Responsible AI, model governance, evaluation, observability, and AI risk-management frameworks.
  • Lead architecture reviews, workshops, proofs of concept, and modernization programs.

Conoscenze

AI architecture
Azure cloud
LLMs / RAG
Multi-agent systems
Data platforms
Security & governance
Leadership

Descrizione del lavoro

Cognizant is seeking a Senior AI Solution Architect to lead enterprise-scale AI, Generative AI, and agentic AI initiatives. You will define scalable architectures leveraging Azure, LLMs, RAG, and multi-agent frameworks while guiding cross-functional teams through enterprise AI adoption.

The role requires hands-on AI engineering coupled with enterprise architecture, data platform, security, and governance expertise to translate business goals into secure, production-ready AI solutions.

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