AI Architect jobs in United States
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HCLTech · 9 hours ago

AI Architect

HCLTech is seeking a highly talented and self-motivated Principal AI Architect to advance technological innovation. In this role, you will guide the strategy and delivery of modern AI solutions, focusing on architecting interoperable systems across a Hybrid AI landscape and engaging with AI, Technology, and Business leaders in successful organizations.

Information and Communications Technology (ICT)IT ManagementOutsourcingSoftwareTelecommunications
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H1B Sponsor Likelynote
Hiring Manager
Karan Kaul
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Responsibilities

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
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
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)
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
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
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
Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance
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
Present at industry events and publish articles that advance the AI industry

Qualification

AI ArchitectureCloud ExpertiseGenAI & LLM DepthRAG & OrchestrationMulti-Agent SystemsMulti-Cloud ExperienceGenAI Ops & GovernanceFramework ExpertiseLeadership & Advisory SkillsThought Leadership & Open SourceCertifications

Required

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)
RAG & Orchestration: Proven experience designing complex RAG pipelines
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) on technical strategy, roadmaps, and governance

Preferred

Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents)
Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP)
GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing
Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects
Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect)

Benefits

Medical
Dental
Vision
Pharmacy
Life
Accidental death & dismemberment
Disability insurance
Employee assistance program
401(k) retirement plan
10 days of paid time off per year
10 paid holidays per year

Company

HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation.

H1B Sponsorship

HCLTech has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2975)
2024 (3974)
2023 (3649)
2022 (3861)
2021 (4093)
2020 (4317)

Funding

Current Stage
Public Company
Total Funding
$220M
Key Investors
ChrysCapital
2008-07-10Post Ipo Equity· $220M
2000-01-06IPO

Leadership Team

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Vijayakumar C.
Chief Executive Officer
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Alan Flower
Executive Vice President - CTO & Global Head, AI & Cloud Native Labs
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Company data provided by crunchbase