Senior AI Solutions Architect

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 223,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

If all this sounds like an environment you’ll thrive in, then you’re in the right place.

We’re looking for an experienced AI Architect to lead architecture and delivery of enterprise-grade Data, ML, GenAI, and Agentic AI solutions across Azure, Google Cloud Platform, and AWS rate customer outcomes.

• Architect Agentic AI solutions using Azure OpenAI, Lang Chain, Lang Graph & multi-agent frameworks>
  
  Build RAG pipelines, vector DB integrations & autonomous workflow orchestration
• Design and lead ML project life cycles data prep, modeling, training, evaluation, deployment & MLOps
• Govern full SDLC for Data, ML
• Implement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)
• Architect and deploy solutions across Azure, Google Cloud Platform, AWS
• Drive RFP/RFI solutioning, technical proposals, estimations & client workshops
• Ensure strong security, compliance, governance (GD PII)
• Produce robust architecture blueprints, ML design docs, and runbooksn
• 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

• 15+ years in Data/AI/ML Engineering or 15+ years with Master’s
• Deep experience in Azure Data & AI stack + working knowledge of Google Cloud Platform & AWS

• Hands-on with ML projects (supervised/unsupervised, forecasting, NLP, deep learning)
• ML modeling tools:
  Python, PySpark, Azure ML, Databricks, Scikit-learn
• Lang Chain, Lang Graph, 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

Pay Range in Remond, WA

• In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.