Senior Solutions AI 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.

Skill & Experience
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
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

Responsibilities

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, Google Cloud Platform, 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 accele

Job Title: AI Architect

Job ID: 54696

Position Type: Full-time

Location: WA

Role/Responsibilities

Pay Range in Remond, WA

Base Salary: $140- $180K

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.

How You'll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Equality & Opportunity for All

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.