Domain\Technical Architect

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Artificiell intelligens · Mjukvaruutveckling

I korthet

We are seeking a Senior AI Architect to lead enterprise AI strategy and architecture for Generative AI and Agentic AI solutions. This role involves defining target architectures, making cross-platform technology decisions, and driving AI programs from strategy through production at scale across multiple cloud environments.

Ansvarsområden

Own the overall AI architecture strategy for strategic enterprise programs from business vision through production and operational maturity.
Lead executive and senior-technical stakeholder discussions to establish AI vision, target architecture, investment priorities, and technical roadmap.
Define enterprise reference architectures and standards for Generative AI, Agentic AI, multi-agent systems, RAG, model integration, AI platforms, and enterprise AI applications.
Lead architecture decisions across GCP, Azure, AWS, OpenAI, and Anthropic Claude, selecting platforms and patterns.
Define strategic architecture for agent platforms including agent orchestration, Planner/Critic/Supervisor/Orchestrator patterns, domain agents, Skills, tools, MCP, memory/state, workflow management, and human-in-the-loop controls.
Define enterprise AI data and knowledge architecture spanning structured/unstructured data, ingestion, processing, search, vector stores, knowledge graphs, retrieval, reranking, access controls, and evaluation.
Establish architecture principles for model strategy including model selection, routing, fallback, fine-tuned/specialized models, SLM/LLM usage, context management, caching, and AI FinOps.
Define enterprise security, Responsible AI, and governance architecture including identity, authorization, data protection, privacy, guardrails, auditability, model risk, policy enforcement, and human approvals.
Define enterprise AgentOps and AI operations architecture covering observability, evaluation, quality management, tracing, logging, cost monitoring, incident management, model/prompt/version management, and continuous improvement.
Define target-state architecture and phased roadmaps covering MVP, production, scale-out, platform standardization, and BAU operating model.
Establish architecture review, design assurance, technology standards, reference patterns, and decision governance for AI programs.
Review and approve high-level architecture, integration architecture, security architecture, deployment architecture, and major technical design decisions.
Lead architectural assessment of complex customer requirements and determine where capabilities should be standardized, productized, bought, or built.
Drive reusable architecture patterns and platform capabilities across customer programs and work with Product and Platform Engineering teams to influence roadmap priorities.
Lead complex architecture escalations and provide direction for major production incidents, systemic reliability issues, and cross-platform technical challenges.
Support proposals, RFPs, solution estimations, technical due diligence, POCs, business cases, and strategic customer engagements.
Mentor AI Architects, Senior FDEs, FDEs, and engineering leads; establish architecture excellence and reusable engineering practices.
Represent the AI architecture function in customer governance forums, architecture review boards, technology councils, and strategic planning sessions.

Krav

Deep software engineering and enterprise solution architecture experience with the ability to guide and challenge production implementations.
Extensive hands-on experience with Generative AI, LLMs, RAG, agentic AI, multi-agent architectures, tool use, evaluation, and enterprise AI application design.
Strong experience with multiple AI/cloud platforms or demonstrated ability to design platform-neutral architectures across hyperscaler and model-provider ecosystems.
Deep understanding of enterprise architecture across application, data, integration, cloud, security, networking, and operations.
Strong experience designing enterprise AI platforms, reusable agent frameworks, integration patterns, and production operating models.
Strong understanding of AI security, Responsible AI, governance, privacy, compliance, model risk, and enterprise controls.
Strong experience with AI observability, evaluation, AgentOps, production reliability, and operational governance.
Strong understanding of cloud-native architecture, Kubernetes/serverless platforms, CI/CD, Infrastructure-as-Code, and enterprise landing zones.
Strong customer-facing leadership skills and ability to influence senior technical and business stakeholders.
Demonstrated ability to make architecture decisions under ambiguity and communicate complex trade-offs clearly.

Önskade kvalifikationer

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
12–16 years of overall software engineering, cloud engineering, enterprise architecture, or equivalent technical experience.
At least 5 years of practical Generative AI / Agentic AI experience, including enterprise production delivery.
Demonstrated track record of owning architecture for multiple complex enterprise technology or AI programs.
Demonstrated experience leading senior customer engagements, architecture governance, and cross-functional technical teams.
Deep experience across two or more of GCP, Azure, AWS, OpenAI, or Anthropic Claude.
Experience establishing enterprise AI reference architectures, platform standards, architecture review boards, and technology governance.
Experience with MCP, A2A, enterprise agent interoperability, and multi-agent platform strategy.
Experience with OpenTelemetry and AI observability/evaluation platforms such as Cloud Observability, Azure Monitor/Application Insights, CloudWatch, LangSmith, Arize, or equivalent.
Experience with enterprise security architecture, Zero Trust, private connectivity, data residency, and regulatory requirements.
Experience with AI FinOps, model strategy, platform consolidation, vendor evaluation, and total-cost-of-ownership analysis.
Experience leading large-scale POCs, pilots, MVPs, production rollouts, RFPs, transformation programs, and strategic enterprise accounts.

Förmåner

Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Färdigheter

Generative AIAgentic AILLMsRAGmulti-agent architecturesGCPAzureAWSOpenAIAnthropic ClaudeKubernetesCI/CDInfrastructure-as-CodeOpenTelemetryCloud ObservabilityAzure MonitorApplication InsightsCloudWatchLangSmithArizeZero Trust

#AI#Generative AI#Agentic AI#Architecture#Enterprise AI#Cloud#Multi-cloud#LLM#Multi-agent systems#RAG#Responsible AI#FinOps#DevOps

Om HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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