AI Solution Architect I

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

In short

Engagement-level architect responsible for technical solutions in modernization workstreams. Translates legacy application analysis into target-state cloud-native architectures, leveraging GenAI for code analysis and design. Focuses on modernizing COBOL, Java EE, .NET, and RPG applications with expertise in GenAI-native architectures and RAG pipelines.

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 portfolio intelligence 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 post-modernization GenAI-native applications, incorporating RAG pipelines, LLM integration layers, and agent orchestration frameworks.
Co-author PRDs and BRDs alongside client product owners.
Define non-functional requirements: scalability, resilience, observability, security, and FinOps.
Partner with Platform Engineers to ensure the target architecture is buildable.
Present technical recommendations to client director-level stakeholders.
Apply GenAI-assisted business rule extraction to preserve institutional knowledge from COBOL, RPG, and legacy Java systems.
Design modernization journeys: 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.
Champion the AI Force Legacy Modernization Recipes for repeatable, scalable delivery patterns.
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).
Define guardrails, evaluation frameworks, and observability stacks for GenAI-powered applications.
Integrate LLM-based code generation, semantic diff, and automated test generation into CI/CD pipelines.
Assess and mitigate AI-specific risks 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 with automated regression, semantic diff, and migration validation gates.
Define branching strategies, migration-as-code patterns, and rollback playbooks.

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.
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.
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.
Leads technical solutioning on RFPs and proposals; contributes target-state diagrams and assumptions to SOWs.
Develops AI Force–based modernization POVs and demo storylines for client leadership engagements.
Contributes to CN COE knowledge base: reusable modernization recipes, GenAI architecture reference patterns, and best-practice playbooks.
Represents HCLTech at industry events and client briefings as a thought leader in AI-led legacy modernization and GenAI application architecture.

Benefits

You'll supercharge your potential.
You'll find your career.
You'll find your spark.
At a place that knows that helping its customers stay on top starts by putting its people first.
Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

Skills

COBOLJava EE.NETRPGGenAIRAGLLMAWSAzureGCPReactAngularLangChainLangGraphAutoGenCrewAIPythonTOGAFAzure OpenAIGoogle Vertex AIAWS BedrockPineconeAzure AI SearchpgvectorGitHub CopilotAmazon CodeWhisperer

#AI#Solution Architect#Legacy Modernization#GenAI#Cloud Native#AWS#Azure#GCP

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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