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Principal GEN AI Architect
Job in
East Brunswick, Middlesex County, New Jersey, 08816, USA
Listed on 2026-02-07
Listing for:
HCLTech
Full Time
position Listed on 2026-02-07
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing
Job Description & How to Apply Below
HCLTech is looking for a highly talented and self‑motivated Principal Gen AI Architect to join it in advancing the technological world through innovation and creativity
Job Title:Principal Gen AI Architect Position Type:
Full‑time Role/Responsibilities
- As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost‑Efficient Small Language Models (SLMs) and Edge Inference.
- You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce.
- Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives.
- This role requires a combination of deep hands‑on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients
- Multi‑Agent Architecture Patterns:
Define and govern reference architecture for multi‑agent systems, covering hierarchical, peer‑to‑peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. - Memory System Design:
Architect the standards for integrated memory systems, including short‑term session state, long‑term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. - Retrieval‑Augmented Generation (RAG) andAG (Cache Augmented) Architecture:
Define architectural patterns for end‑to‑end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). - Cross‑Cloud & Vendor Integration:
Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock‑in risks with integration benefits. - GenAIOps & Observability:
Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. - Safety, Security & Governance:
Architect enterprise‑wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human‑in‑the‑loop (HITL) workflows. - Enterprise Integration & Scalability:
Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra , Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. - Technical Leadership & Client Advisory:
Combine technical architecture with strategic guidance. Lead C‑level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. - Thought leadership and public speaking:
Present at industry events and publish articles that advance the AI industry.
- Enterprise
Experience:
8–10+ years in technical leadership, with a strong background in both software engineering and enterprise‑scale cloud architecture. - Cloud Expertise:
Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands‑on familiarity with at least one other. - GenAI & LLM Depth:
Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). - Model Fine‑tuning:
Experience with instruction tuning or fine‑tuning strategies for LLMs. - Leadership & Advisory
Skills:
Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C‑Level)…
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