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# Technical Architect

- **Company:** HCL America, Inc.
- **Location:** United States
- **Salary:** $105,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Systems Development Life Cycle, Power BI, OpenAI, Azure Machine Learning, Runbook, Explainable AI (XAI), Google Cloud, Azure Data Factory, LangChain, Retrieval-Augmented Generation, Large Language Models, SHAP (Shapley Additive Explanations), Multi-Agent Systems, Deep Learning, Agentic-AI, Pyspark, Scikit Learn, Machine Learning Operations, Azure AI, Graph RAG, Databricks
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9fbbb96e61457fd5

## About the Role

* 15+ years in Data/AI/ML Engineering or 15+ years with Master's
 * Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
 * Hands-on with:
 + ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
 + ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
 + LangChain, LangGraph, Agentic AI systems
 + LLMs, embeddings, vector databases, RAG/GraphRAG
 + CI/CD, MLOps/LLMOps, SDLC
 + Explainable AI (XAI)
 * Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI
 * Proven experience contributing to RFP/RFI responses and client solutioning, * 15+ years in Data/AI/ML Engineering or 15+ years with Master's
 * Deep experience in Azure Data & AI stack + working knowledge of GCP & AWS
 * Hands-on with:
 + ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
 + ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
 + LangChain, LangGraph, Agentic AI systems
 + LLMs, embeddings, vector databases, RAG/GraphRAG
 + CI/CD, MLOps/LLMOps, SDLC
 + Explainable AI (XAI)
 * Strong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI
 * Proven experience contributing to RFP/RFI responses and client solutioning

Must Have Skill

AWS Security,Azure AI Studio,GCP MLOps Engineering,LangChain,LangGraph

## Description

* Architect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
 * Build RAG pipelines, vector DB integrations & autonomous workflow orchestration
 * Design and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps
 * Govern full SDLC for Data, ML, and GenAI platforms
 * Implement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)
 * Architect and deploy solutions across Azure, GCP, AWS
 * Drive RFP/RFI solutioning, technical proposals, estimations & client workshops
 * Ensure strong security, compliance, governance (GDPR, CCPA, PII)
 * Produce robust architecture blueprints, ML design docs, and runbooks
 * Engage with customer IT and business leaders to understand pain points, priorities, success measures, and risks.
 * Design secure, scalable data and AI solutions to deliver measurable business value.
 * Lead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs.
 * Accelerate adoption and ensure long-term technical viability.
 * Maintain deep understanding of evolving AI capabilities, competitive insights, and market trends.
 * Demonstrate a growth mindset by continuously aligning your skills to team and customer needs,
 * Contribute to technical communities and mentor others to accelerate customer outcomes.