23 hours ago
Base Salary
$185k - $200k/yr
Responsibilities
- Architect multi-agent systems supporting autonomous planning, execution, reflection, and escalation within defined guardrails.
- Design end-to-end Agentic and Generative AI architectures covering LLMs, orchestration, memory, tools, human oversight, data ingestion, vector stores, prompt engineering, RAG, workflows, APIs, and integrations.
- Embed responsible AI, security, governance, regulatory, risk mitigation, monitoring, and human-control mechanisms into AI solutions.
- Translate business use cases into AI solution blueprints, reference architectures, and implementation roadmaps.
- Support pre-sales, RFPs, solutioning, and deal credentialization by articulating Agentic AI value propositions.
- Provide technical leadership across proofs of concept, pilots, and production deployments.
- Contribute to AI accelerators, reusable assets, best practices, and technical thought leadership.
- Mentor architects and engineering teams on Generative AI and agent-based system design.
Requirements
- 10+ years of experience in enterprise architecture, frontier engineering, AI engineering, or related technology leadership roles, with recent Generative AI and Agentic AI focus.
- Hands-on knowledge of large language models, prompt engineering, retrieval-augmented generation, vector databases, agentic workflows, and agent orchestration frameworks.
- Experience designing AI, machine learning, or Generative AI systems on Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
- Strong understanding of API-driven architectures, microservices, event-driven systems, cloud-native platforms, containers, orchestration, MLOps, and LLMOps.
- Ability to communicate complex technical concepts to business, technical, and executive audiences in client-facing or consulting environments.
- Master’s or Doctor of Philosophy degree in Computer Science, Engineering, or a related STEM field is preferred.
- Preferred qualifications include technical thought leadership, agentic AI governance and responsible AI experience, autonomous-system controls, outcome monitoring, and contributions to AI platforms or reusable enterprise assets.
Benefits
- Remote position open to qualified applicants in the United States, subject to project and client requirements.
- 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.
Tech Stack
Categories
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.