Consulting Principal Enterprise Architect — AI Specialty (Platforms & Services / Hi-Tech)
Cognizant2 days ago
Base Salary
$165k - $194k/yr
Responsibilities
- Set enterprise-wide AI architecture visions and target-state roadmaps for Platforms & Services and Hi-Tech accounts.
- Design scalable, resilient, secure, and explainable GenAI, machine-learning, and autonomous or agentic AI architectures across SaaS and internal systems.
- Create reusable reference patterns and building blocks for LLM onboarding, RAG pipelines, vector stores, and agent or application architectures.
- Build hands-on proofs of concept and prototypes and help take AI solutions from proof of concept through production at scale.
- Establish architecture governance, standards, responsible-AI practices, data privacy controls, compliance practices, and model evaluation and benchmarking gates.
- Provide technical leadership and mentorship to solution architects and engineering teams.
- Advise client executives, including C-level stakeholders, and support pre-sales, solutioning, discovery, and design workshops.
Requirements
- 12–15+ years of experience in IT or enterprise architecture, including multiple years delivering architecture for large, complex, enterprise-scale programs.
- Deep TOGAF practice and experience with architecture review-board governance.
- Experience architecting enterprise-grade AI solutions on AWS, Azure, and/or GCP, including GenAI platforms, ML model deployment, RAG pipelines, and autonomous or agentic AI frameworks.
- Substantial experience serving Platforms & Services and/or Hi-Tech clients, with deep expertise in at least one relevant domain.
- Hands-on ability to build proofs of concept and prototypes using Python, notebooks, agent or LLM SDKs, and cloud services.
- Client-facing consulting experience in pre-sales, solutioning, and executive engagement.
- Expertise in responsible AI, data privacy, model governance, and domain-specific compliance.
- Experience with real-time or low-latency decisioning, large-scale distributed systems, data architecture, lakehouse strategies, information or data modeling, streaming, and data governance is helpful.
- Familiarity with LangChain, LlamaIndex, vector databases, MLflow, PyTorch, TensorFlow, and Hugging Face is helpful.
- For Hi-Tech engagements, familiarity with semiconductor design or manufacturing, EDA/CAD workflows, or yield and manufacturing analytics is helpful.
- TOGAF certification is strongly preferred, relevant cloud architecture certifications are a plus, and a bachelor's degree or higher in Computer Science, Engineering, Applied Science, or Mathematics, or equivalent practical experience, is expected.
Benefits
- Hybrid position requiring three days per week in a client or Cognizant office in San Jose, California.
- 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.
- Eligibility for a discretionary annual incentive program based on performance.
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.