AI Solution Architect I

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence

In short

Engagement-level architect for modernization workstreams, translating legacy applications into cloud-native architectures using GenAI. Assesses legacy portfolios and designs GenAI-native applications with RAG pipelines and agent orchestration. This role requires 6-9 years of experience, including 2 years in an architect role, with deep knowledge of hyperscaler services and legacy system modernization.

Responsibilities

Lead application discovery and current-state assessments using GenAI-assisted code analysis and AI Force AI Workbench.
Assess and classify legacy portfolios (COBOL/mainframe, Java EE monoliths, legacy .NET, RPG) using AI-assisted tools.
Conduct business rule extraction from legacy codebases using GenAI tooling.
Produce application profiles: dependency maps, data flow diagrams, complexity scoring, and technical debt assessments.
Author target-state architectures (containers, serverless, managed services, event mesh) with clear migration patterns.
Design target-state architectures for GenAI-native applications, incorporating RAG pipelines, LLM integration layers, and agent orchestration frameworks.
Co-author PRDs and BRDs alongside client product owners, using AI-generated artifacts as accelerators.
Define non-functional requirements: scalability, resilience, observability, security, and FinOps.
Partner with Platform Engineers to ensure the target architecture is buildable on the chosen landing zone.
Apply GenAI-assisted business rule extraction to preserve institutional knowledge from COBOL, RPG, and legacy Java systems.
Design modernization journeys across the full spectrum: mainframe offload, COBOL-to-Java/cloud-native transpilation, monolith decomposition into microservices, and UI framework migration.
Leverage composable Agentic AI platforms such as ATLAS and AI Force 2.0 to accelerate modernization.
Define rollback playbooks and cutover strategies for high-risk legacy system cutovers.
Design and deploy agentic AI pipelines for automated code analysis, dependency mapping, transformation planning, and validation.
Architect GenAI-native applications using patterns such as Retrieval-Augmented Generation (RAG), multi-agent orchestration, tool/function calling, and LLM fine-tuning.
Configure and govern multi-provider LLM integrations (Azure OpenAI, Google Vertex AI, AWS Bedrock) with appropriate routing, cost, and latency controls.
Define guardrails, evaluation frameworks, and observability stacks for GenAI-powered applications in production.
Integrate LLM-based code generation, semantic diff, and automated test generation into CI/CD pipelines.
Assess and mitigate AI-specific risks: hallucination, prompt injection, data leakage, and model drift for production GenAI deployments.
Integrate GenAI tooling across the full SDLC: requirements, design, code generation, testing, security scanning, and documentation.
Establish AI-augmented CI/CD pipelines that include automated regression, semantic diff, and migration validation gates.
Define branching strategies, migration-as-code patterns, and rollback playbooks for high-risk legacy cutover events.
Lead technical solutioning on RFPs and proposals; contribute target-state diagrams and assumptions to SOWs.
Develop AI Force–based modernization POVs and demo storylines for client leadership engagements.
Contribute to CN COE knowledge base: reusable modernization recipes, GenAI architecture reference patterns, and best-practice playbooks.
Represent HCLTech at industry events and client briefings as a thought leader in AI-led legacy modernization and GenAI application architecture.

Requirements

6–9 years of software engineering and architecture experience, with at least 2 years in an architect role.
Demonstrated success leading at least 2 application modernization or cloud migration engagements.
Deep knowledge of at least one hyperscaler service catalog (AWS, Azure, or GCP).
Comfort facilitating client workshops and producing professional architecture documentation.
Hands-on experience assessing and modernizing legacy systems: COBOL/mainframe, Java EE monoliths, legacy .NET, or RPG applications.
Familiarity with AI-led modernization platforms such as AI Force 2.0, GitHub Copilot, Amazon CodeWhisperer, or equivalent tooling.
Ability to perform or oversee business rule extraction from legacy codebases using GenAI-assisted analysis.
Experience applying the 6R/7R migration strategies (rehost, replatform, refactor, rearchitect, replace, retire, retain) to enterprise legacy portfolios.
Working understanding of GenAI patterns (RAG, agents, evaluation) and how they apply to SDLC acceleration and legacy modernization.
Proficiency with agentic AI frameworks—LangChain, LangGraph, AutoGen, CrewAI, or equivalent—and multi-agent orchestration patterns.
Strong understanding of GenAI application patterns: prompt engineering, LLM integration, semantic search, function/tool calling, and structured output.
Awareness of responsible AI principles: hallucination mitigation, bias detection, data privacy, and governance in GenAI deployments.
Experience with composable Agentic AI modernization platforms (e.g., ATLAS, AI Force 2.0 AI Workbench).
Multi-provider LLM configuration and governance: Azure OpenAI, Google Vertex AI, AWS Bedrock—including routing strategies, cost controls, and latency SLOs.
Demonstrated GenAI business rule extraction from COBOL, RPG, or legacy Java codebases.
Knowledge of vector databases, embedding models, and semantic search architectures (e.g., Pinecone, Azure AI Search, pgvector).
Experience building autonomous data engineering pipelines for legacy data modernization.

Desired Qualifications

Professional-level cloud certification (AWS SA Pro, Azure Solutions Architect Expert, GCP PCA).
TOGAF or equivalent EA framework exposure.
Industry vertical depth: financial services, insurance, healthcare, or public sector.

Benefits

You'll supercharge your potential.
You'll find your career.
You'll find your spark.
A place that knows that helping its customers stay on top starts by putting its people first.
Global technology company, home to more than 230,000 people across 60 countries.
Delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.
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 2026 totaled $14.8 billion.

Skills

COBOLJava EE.NETRPGGenAIRAGLLMAWSAzureGCPLangChainLangGraphAutoGenCrewAIPythonReactAngularTOGAFVector DatabasesEmbedding ModelsSemantic Search

#AI#Solution Architect#GenAI#Legacy Modernization#Cloud-Native#Cloud Migration#Agentic AI#RAG#LLM#SDLC#DevOps

About 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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