28 days ago
Base Salary
$122k - $224k/yr
Responsibilities
- Define and govern enterprise AI architectures, reference patterns, reusable services, and engineering standards.
- Lead AI solutions from discovery and architecture through implementation, evaluation, deployment, and production operations.
- Design model-agnostic AI systems using agents, multi-agent workflows, tool calling, memory, human approvals, Model Context Protocol, vector or graph retrieval, and secure enterprise integrations.
- Establish AI platform and LLMOps practices for versioning, evaluation, CI/CD, observability, rollback, incident response, reliability, latency, cost optimization, and responsible AI.
- Lead, mentor, and develop architects and engineers while partnering with clients, executives, vendors, and cross-functional teams.
- Assess emerging AI technologies and vendors, lead design and code reviews, and connect architecture decisions to measurable business outcomes.
Requirements
- 12+ years of software, platform, data, or cloud engineering experience, including 5+ years in architecture or technical leadership.
- Demonstrated delivery of enterprise-scale production AI systems.
- Hands-on expertise in LLM application engineering, agents, retrieval-augmented generation, evaluation, guardrails, distributed systems, cloud architecture, and multiple model providers.
- Experience establishing secure and reliable AI platform and LLMOps practices, including observability, automated evaluation, incident response, privacy, security, governance, resilience, and cost optimization.
- Experience with Angular, TypeScript, C#, .NET, APIs, events, PostgreSQL or AlloyDB, Redis, vector or graph stores, containers, and Google Cloud services.
- Experience with LangGraph, Semantic Kernel, LangChain, LlamaIndex, GraphRAG, or comparable frameworks is helpful.
- Experience applying AI-native and specification-driven engineering practices, including coding agents, automated testing, security checks, validation gates, architecture decisions, and requirement-to-code traceability is helpful.
- Strong executive communication, client-facing leadership, cross-functional collaboration, mentoring, and technical decision-making skills.
Benefits
- Hybrid work requiring 3 days per week in a client or Cognizant office in Atlanta, Georgia; arrangements may change based on project and business requirements.
- Medical, dental, vision, and life insurance.
- 401(k) plan and contributions.
- Employee stock purchase plan.
- Employee assistance program.
- 10 paid holidays plus PTO.
- Paid parental leave and fertility assistance.
- Learning and development certifications and programs.
Tech Stack
Categories
Solutions Engineering
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.