AI Solutions Architect & CoE Capability

HCLTech; Austin (TX); On-site; USD 145,000 - 250,000; Full time

Job summary

HCL Technologies Limited in Austin, TX seeks an AI Solutions Architect & CoE Capability Lead to drive AI transformation across a 350+ delivery workforce. You will architect multi-agent systems, design curricula, and personally deliver classroom trainings, labs, and workshops to upskill engineers.

You will oversee the Reusable Asset Factory, set directions for enterprise assets, and guide a 10-member AI Core Guild across four pods to deliver high-impact AI solutions with strong security and

Qualifications

• 15+ years of progressive experience in Software Engineering, Cloud Architecture, and Applied AI/ML.

Responsibilities

• Drive workforce upskilling in AI and run classroom trainings, labs, and hackathons to build AI-ready personnel across 7 personas.

Skills

AI leadership

Technical training

Multi-Agent AI

Python

TypeScript/Go

gRPC

Protobuf

Knowledge graphs

AI Security

Cloud (GCP)

Tools

Google Cloud ADK

Vertex AI Agent Engine

LangGraph

CrewAI

AutoGen

Job description

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 220,000 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.

AI Solutions Architect & CoE Capability

Role: AI Solutions Architect & CoE Capability

Location: Austin, TX

About the Role:

HCLTech is seeking an entrepreneurial, deeply technical AI Solutions Architect & CoE Capability Lead to spearhead one of our flagship hyperscaler account’s AI Transformation Charter. Reporting directly to the Director of AI Strategy, Transformation & Delivery, you will sit at the center of a 350+ person global engineering ecosystem—

1. Driving hands-on workforce upskilling in AI (7 role-based personas),

2. Owning our Reusable AI Asset Factory across 100+ active engagements, and

3. Co-architecting production multi-agent AI solutions.

IMPORTANT NOTE ON ROLE PROFILE: This is NOT a traditional desk-bound Solutions Architect role. We are looking for an energetic "Builder-Educator & Technical Evangelist" who not only architects production multi-agent systems, but also genuinely enjoys designing curricula and personally delivering classroom trainings, hands-on coding labs, interactive workshops, and account-wide AI hackathons to transform our 350+ existing delivery personnel across 7 distinct engineering personas

Key Responsibilities:

• Workforce Acceleration, Classroom Training, Labs & Hackathons - To build AI Ready Workforce (35%)

• Own end-to-end technical enablement of our 350+ global delivery workforce to become AI-Ready across 7 role-based personas: Software Engineers (SWE), Data Engineers, SRE & DevOps, QA & Testing, Technical Support, BSA & Product Owners, and UX Designers—designing persona-specific AI curricula and personally conducting Applied AI classroom training sessions, live hands-on agent/AI labs, architecture workshops, and brown-bag clinics that teach experienced practitioners how to embed AI tools and agentic workflows into their daily role (not teaching base programming languages or core functional skills).

• Organize and run periodic account-wide AI Hackathons, prompt,harness and loop-engineering challenges, and "Build-a-thon" sprints that convert real project pain points into working AI prototypes.

• Build and maintain sandbox lab environments, capstone exercises, and guided certification study cohorts to mentor our Lateral FDE Launchpad cohort and internal Technical Leads through Google Cloud Partner Specialist (CPS) credentials, Google Cloud Professional Agentic Architect certifications, and the 32-hour Elite FDE Bootcamp.

• AI Capability Center (CoE) & Reusable Asset Factory (35%)

• Own and architect the account-wide Centralized AI Asset Repository—converting project-specific innovations and hackathon winners into modular, production-ready building blocks that compress delivery timelines by 40% across 100+ engagements.

• Design, standardize, and maintain core reusable assets including: - Modular Agent Skills, Enterprise System Prompt Libraries, and Model Context Protocol (MCP) Connectors. - Agentic Evaluation Harnesses (LLM-as-a-judge autoraters, synthetic QA test suites, drift telemetry). - Enterprise Data Onboarding Accelerators, Knowledge Graph (EKG) pipelines, and AI Security Guardrails (DLP redaction, Model Armor, policy-as-code).

• Provide technical direction to a 10-member Elite AI Core Guild (Senior Solutions Architects, Data Architects, and SRE Leads) across four specialized pods: Forward Deployment, Agentic Workflows, Data & Knowledge Graphs, and Governance & EvalOps.

• Partner with the Director of AI Strategy, Transformation & Delivery and domain Architects to conduct Systematic Workflow Audits across client Product Areas—identifying high-toil operational bottlenecks and designing outcome-driven AI transformation roadmaps.

• Co-lead the architecture and MVP delivery of flagship multi-agent solutions (such as intelligent ticket triage engines, automated privacy/compliance review workflows, spatial knowledge graphs, and enterprise resource planners) delivering 40%–60% business toil reduction.

• Enforce enterprise-grade security, zero-trust identity (SPIFFE/OAuth), VPC-SC routing, and token/cost optimization across all production AI deployments.

Required Qualifications:

• 15+ years of progressive experience in Software Engineering, Cloud Architecture, and Applied AI/ML, with at least 3+ years architecting Generative AI and Multi-Agent systems.

• Proven Technical Training, Lab & Hackathon Leadership (MANDATORY): Demonstrated passion and track record for personally conducting instructor-led classroom trainings, hands-on coding labs, developer workshops, and engineering hackathons to upskill large multi-disciplinary delivery teams (100+ to 350+ personnel).

• Deep hands-on mastery of modern Agentic AI frameworks and stacks: - Multi-Agent Orchestration: Google Agent Development Kit (ADK), Vertex AI Agent Engine / Agent Builder, LangGraph, CrewAI, or AutoGen; Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP) tool development. - Languages & Backend: Production proficiency in Python and TypeScript/Go, gRPC service design, Protocol Buffers (protobuf), and REST/Federated Connector APIs. - Data & Grounding: Advanced RAG architectures, Vector Search, Enterprise Knowledge Graphs (EKG), BigQuery, AlloyDB, and Spanner.

EvalOps & AI Security: Experience building LLM-as-a-judge evaluation harnesses, hill-climbing accuracy frameworks, prompt-injection guardrails (Model Armor / DLP), and CI/CD telemetry.

• Demonstrated track record of building reusable engineering frameworks and leading an AI Center of Excellence (CoE), Developer Relations/Enablement program, or Architecture Guild.

• Exceptional communication and classroom facilitation skills, with the ability to both coach junior/mid-level practitioners in hands-on labs and translate complex multi-agent architectures into clear business ROI for senior executives. Preferred Qualifications:

• Prior experience working within or delivering complex engineering programs for a major hyperscaler ecosystem (Google Cloud preferred).

• Active Google Cloud Professional Certification is strongly preferred (e.g., Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer).

• Experience transitioning traditional engineering pods (SWE, Data, SRE, QA, Support, BSA, UX) into AI-augmented, outcome-based delivery teams using AI coding assistants (Gemini Code Assist, Cursor, Windsurf, or internal agentic IDEs).

Pay and Benefits

Pay Range Minimum: $145000

Pay Range Maximum: $250000

HCL is 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. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate s pay within the range will depend on their work location, 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.