Senior Technical Architect
United States
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Job Description
Senior Technical Architect
Others, Washington

Job Summary

Responsibilities

  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
  • Well-versed with the Microsoft Agentic Framework (MAF)
  • 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
  • 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.

 

Skill & Experience

  • 15+ years in Data/AI/ML Engineering or 15+ years
  • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
  • Hands-on with:
    • ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
    • ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
    • Microsoft Foundry, Microsoft Agentic Framework
    • LLMs, embeddings, vector databases, RAG/GraphRAG
    • CI/CD, MLOps/LLMOps, SDLC
    • Explainable AI (XAI)

Key Responsibilities

Responsibilities

  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
  • Well-versed with the Microsoft Agentic Framework (MAF)
  • 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
  • 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.

 

Skill & Experience

  • 15+ years in Data/AI/ML Engineering or 15+ years
  • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
  • Hands-on with:
    • ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
    • ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
    • Microsoft Foundry, Microsoft Agentic Framework
    • LLMs, embeddings, vector databases, RAG/GraphRAG
    • CI/CD, MLOps/LLMOps, SDLC
    • Explainable AI (XAI)

Skill Requirements

Responsibilities

  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
  • Well-versed with the Microsoft Agentic Framework (MAF)
  • 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
  • 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.

 

Skill & Experience

  • 15+ years in Data/AI/ML Engineering or 15+ years
  • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
  • Hands-on with:
    • ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
    • ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
    • Microsoft Foundry, Microsoft Agentic Framework
    • LLMs, embeddings, vector databases, RAG/GraphRAG
    • CI/CD, MLOps/LLMOps, SDLC
    • Explainable AI (XAI)

Other Requirements

Responsibilities

  • Architect Agentic AI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph & multi-agent frameworks
  • Well-versed with the Microsoft Agentic Framework (MAF)
  • 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
  • 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.

 

Skill & Experience

  • 15+ years in Data/AI/ML Engineering or 15+ years
  • Strong exposure to Microsoft Azure stack including Synapse, Fabric, Foundry, Copilot Studio, Databricks, Power BI
  • Hands-on with:
    • ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
    • ML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn
    • Microsoft Foundry, Microsoft Agentic Framework
    • LLMs, embeddings, vector databases, RAG/GraphRAG
    • CI/CD, MLOps/LLMOps, SDLC
    • Explainable AI (XAI)
Maximum Salary (US): 
Minimum Salary (US): 
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 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. 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 June 2026 totaled $14.8 billion. 

 

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.