8 hours ago
Base Salary
$150k - $160k/yr
Responsibilities
- Design end-to-end Agentic AI and Generative AI architectures using Microsoft Foundry/Azure AI Foundry and Azure OpenAI.
- Define single-agent and multi-agent orchestration patterns, including memory, tool use, reflection, approvals, handoffs, MCP, and A2A.
- Architect enterprise RAG solutions with ingestion, embeddings, hybrid and vector search, reranking, metadata filtering, permission-aware retrieval, and source traceability.
- Design secure Azure cloud-native, event-driven, API-led, serverless, container, messaging, storage, database, and enterprise integration architectures.
- Establish identity, access, security, privacy, compliance, Responsible AI, prompt-injection, data-leakage, and high-risk-action controls.
- Define lifecycle management, evaluation, observability, reliability, model routing, drift detection, and cost-governance practices for agents and AI systems.
- Lead discovery workshops, architecture assessments, proof-of-concepts, architecture reviews, production roadmaps, and technical design documentation.
- Mentor engineering teams and collaborate with business, engineering, data, security, infrastructure, DevOps, and operations stakeholders.
Requirements
- At least 12 years of overall technology experience with significant solution or enterprise architecture responsibility.
- At least 5 years designing Microsoft Azure solutions across cloud-native, integration, security, and data architectures.
- Strong hands-on experience with Agentic AI, Generative AI, LLMs, RAG, multi-agent architectures, Microsoft Foundry/Azure AI Foundry, Azure OpenAI, and Azure AI Search.
- Experience with agent frameworks or SDKs such as Semantic Kernel, LangGraph, LangChain, or equivalent technologies, plus MCP, A2A, tool calling, orchestration, memory, and human-in-the-loop patterns.
- Strong Azure architecture experience spanning APIs, messaging, serverless and container platforms, identity, networking, storage, databases, and observability.
- Knowledge of vector databases, embeddings, hybrid retrieval, reranking, knowledge graphs, and enterprise data governance.
- Experience with Python and/or .NET/Java, REST/API integration, Docker, Kubernetes, infrastructure automation, Azure DevOps or GitHub, and CI/CD.
- Ability to architect secure, resilient, scalable, observable, and cost-efficient production AI solutions and communicate with senior business and engineering stakeholders.
- Preferred experience includes Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Fabric IQ/Data Agents, regulated or security-sensitive environments, AI evaluation, red teaming, Responsible AI, LLMOps, AgentOps, FinOps, enterprise modernization, and Microsoft AI or Azure certifications such as AI-103 or AB-100.
Benefits
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance and applicable plan terms.
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.