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HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity

Title: AI Architect

Location Santa Clara (USA)

As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.

You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce.

Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives.

This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients

Key Responsibilities

What you’ll do

Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases.

Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers.

Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS).

Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits.

GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.

Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows.

Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance.

Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership.

Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry.

Core Qualifications (The Bar)

•Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.

•Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.

•GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).

•RAG & Orchestration: Proven experience designing complex RAG pipelines.

•Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs.

•Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance

Desired Skills & Experience

• Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
• Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
• GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing
• Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
• Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).

Compensation & Benefits

HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process.

Scope by Level

Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging

Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts.

Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice.

Soft Skills & Behavioural Competencies

We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically:

• Clear, Multi-Level Communication
• Strategic Thinking & Advisory Mindset
• Cross-Functional & Cross-Vendor Collaboration
• Pragmatic Problem-Solving
• Ownership & Accountability
• Continuous Learning & Adaptability
• Customer Obsession & Trust-Building
• Leadership & Mentorship
• Change Agent Mindset

Pay and Benefits

Pay Range Minimum: Base $ 200000 Per Year

Pay Range Maximum: Base $ 220000 Per Year

HCLTech 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.

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

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.

What You'll Be Doing:

• Requires in-depth knowledge and experience in React JS.
• Solves complex problems; takes a new perspective using existing solutions
• Works independently; receives minimal guidance
• Acts as a resource for colleagues with less experience
• Represents the level at which career may stabilize for many years or even until retirement
• Contributes to process improvements
• Typically resolves problems using existing solutions
• Provides informal guidance to junior staff
• Works with minimal guidance
• With expertise in React, Material UI, TypeScript, and Node.js to help build and optimize high performance web applications.
• The ideal candidate has a strong foundation in front-end development, best practices, advanced TypeScript skills, and experience with modern JavaScript build tools like Webpack.
• Experience in Node.js library packaging, design systems, and optimizing front-end performance is highly desirable.

Responsibilities

• Develop and optimize React components, ensuring reusability, maintainability, and performance.
• Architect and maintain a scalable React application structure, following best practices for long-term sustainability.
• Build and package Node.js libraries to be reusable across multiple projects.
• Write clean, efficient, and scalable TypeScript code, ensuring strong type safety and maintainability.
• Build UI components using Material UI, ensuring consistency with design guidelines.
• Integrate and consume RESTful APIs or GraphQL endpoints efficiently.
• Implement and manage front-end testing using frameworks such as Jest, Cypress, or React Testing Library.
• Optimize Webpack configurations for faster builds, better bundling, and improved performance.
• Ensure adherence to best practices for performance optimization, accessibility, and security.
• Collaborate closely with backend teams to integrate APIs and optimize data fetching strategies.
• Debug and resolve complex issues across the front-end stack, including state management and caching strategies.
• Stay updated with the latest trends in React, TypeScript, and front-end development to deliver best-in-class solutions.
• Participate in code reviews, mentor junior developers, and contribute to technical discussions.

What We Are Looking For:

• Strong knowledge of Front-End Architecture with the ability to evaluate pros and cons of frameworks or proposed solutions.
• Minimum 10 years of relevant experience, including involvement in at least two projects in an Architect role.
• Must be hands-on and capable of developing quick PoCs.
• Experience in integrating AEM (CMS) with ReactJS applications.
• Ability to evaluate server-side latency and performance-related architectural options.
• 10+ years of experience in front-end development, with at least 10+ years of hands-on React experience.
• Advanced TypeScript skills, with a focus on type safety and best practices.
• Strong experience with Material UI for building accessible, consistent UIs.
• Solid understanding of Node.js and experience with Node.js library packaging.
• Hands-on experience with front-end test frameworks (Jest, Cypress, React Testing Library).
• Deep understanding of Webpack, including performance optimizations, tree shaking, and bundle splitting.
• Familiarity with state management solutions such as Redux, Zustand, or Recoil.
• Experience with performance tuning, lazy loading, and optimizing Lighthouse scores.
• Familiarity with CI/CD pipelines and DevOps practices for front-end deployments.
• Strong knowledge of RESTful APIs and GraphQL, with experience in efficient data fetching strategies.
• Excellent problem-solving skills and the ability to debug complex front-end issues.
• Strong communication skills, with the ability to collaborate effectively with designers, backend developers, and stakeholders.

Must Have Skills

• React
• Material UI
• TypeScript
• Storybook
• CSS/SASS
• Jest/Cypress/React Testing Library

Nice to Have AEM Cloud with SPA Editor experience

What’s In It for You:

At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That’s why we offer competitive financial compensation, including various compensation plans and a solid benefits package.

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Short-Term/Long-Term Disability Insurance
• Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
• Paid Time Off (including sick, holiday, vacation, etc.)
• Tuition Reimbursement
• Growth Opportunities
• And more!

Work Arrangement Fully OnSite: Must be able to travel to an Arrow Client office location as requested by Arrow Client leadership.

Location: Complete On-Site at Centennial, CO (Complete Onsite)

About eInfochips: eInfochips, an Arrow company (Fortune #154), is a leading global provider of product engineering and semiconductor design services. A rich history of over two decades, with over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along with Arrow’s $38B in revenues, 22,000 employees, and 345 locations serving over 80 countries, eInfochips is primed to accelerate connected products innovation for 150,000+ global clients. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients. Please visit for our portfolio of product engineering services across various industries & verticals.

EEO Statement: Arrow is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, gender, age, sexual orientation, gender identity, national origin, veteran or disability status. (Arrow EEO/AAP policy)

Full Time or Part-Time Administrative Assistant Position
An Operations Company in the College Station area is seeking an Administrative Assistant to add to their team.
To qualify for this position, you must have the following skills:
o Must be proficient in QuickBooks, Excel & Word
o Professional verbal and written communication
o Customer service skills
o Ability to multi-task
o Time management skills
o Clear criminal background
o Verifiable job references
o High school diploma or GED

In this position you will be responsible for administrative and complex clerical work. These duties will include but not be limited to the creating and maintaining of Excel spreadsheets, compiling management and operation reports and preparation of memos, letters, and emails.
Pay: D.O.E.

High School Diploma or equivalent ; have reliable transportation; ability to lift and carry 25 lbs.
Must be available a minimum of 30 hours a week; Monday - Friday, between the hours of 7:00 am and 5:00 pm

Who We Are

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

Who You Are

We are seeking a strategic and technically astute Product Marketing Manager to lead the go-to-market strategy for the Tetra Scientific Data and AI Cloud platform.

You bring a strong product orientation and storytelling instinct, grounded in real-world experience at the intersection of data, cloud, and life sciences. You understand how to position a platform that’s as relevant to CDOs and Heads of IT as it is to scientists, data engineers, and AI practitioners.

You are a systems thinker with an eye for simplification and scale. You understand the critical importance of data architecture and FAIR principles in enabling scientific AI, and you can articulate the differentiated value of a cloud-native, vendor-neutral, extensible platform approach.

You thrive in high-growth, cross-functional environments and are motivated by the opportunity to build category-defining products and narratives.

What You Will Do

In this role, you will define and drive the product marketing strategy for the Tetra Scientific Data and AI Cloud platform. Your work will empower the world's leading biopharma companies to replatform their scientific data, enabling transformational outcomes in discovery, development, manufacturing, and quality control.

You will collaborate with Product, Engineering, Sales, and Strategic Partners to craft clear, compelling positioning, messaging, and sales enablement materials. You’ll also help shape the narrative for our ecosystem, including integrations with major cloud, AI, and data platform partners like Databricks, Snowflake, AWS, Microsoft, and NVIDIA.

This is a pivotal role that combines deep technical understanding with go-to-market acumen and a bias for execution.

Responsibilities

• Own the platform product marketing strategy across all technical personas (scientific IT, data leaders, AI/ML).
• Define and continuously refine positioning, messaging, and value propositions for our cloud platform, developer and data capabilities and architecture.
• Create compelling product marketing content—solution briefs, technical explainer videos, competitive battlecards, web copy, white papers, and thought leadership assets.
• Collaborate with sales, alliances, and field teams to deliver training, tools, and content that accelerate pipeline and sales velocity.
• Support partner co-marketing efforts with major platform and AI partners (e.g., Snowflake, Databricks, NVIDIA, AWS, Microsoft).
• Serve as the voice of the platform in customer briefings, industry events, webinars, and analyst conversations.
• Track key metrics to evaluate market opportunity / share / impact impact, adoption patterns, and ecosystem growth.

• Formal education in a scientific or technical discipline (e.g., life sciences, data science, computer science, engineering).
• 7+ years of experience in product marketing for data platforms, developer tooling, or cloud-based enterprise products in the life sciences.
• Strong knowledge of lab informatics, FAIR data principles, cloud data architectures, and scientific R&D workflows.
• Demonstrated ability to translate platform capabilities into clear, differentiated customer value.
• Experience working with ecosystem partners (cloud, AI, analytics) and supporting partner go-to-market motions.
• Exceptional writing, communication, and presentation skills.
• Strong collaboration skills and experience working with cross-functional teams in high-velocity environments.
  
  

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Flexible working arrangements - Remote work
• Company paid Life Insurance, LTD/STD
• A culture of continuous improvement where you can grow your career and get coaching

We are not currently providing visa sponsorship for this position

About GMI Cloud

GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .

We operate 8 of our own GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.

Role Overview

We’re looking for a quota-carrying Account Manager to work directly with AI startup founders, researchers, and ML engineers.

This role is ideal for someone who:

• Is AI-native (understands model training & inference),
• Is comfortable building pipeline through their own network, and
• Thrives in an early-stage environment without heavy inbound or brand pull.

You’ll own accounts end-to-end — from sourcing opportunities to closing deals and driving expansion.

What You’ll Do

Pipeline & Revenue Ownership

• Own a revenue quota across a portfolio of AI startup and research lab accounts.
• Build pipeline through outbound efforts and personal network, especially within the founder and VC ecosystem.
• Convert early experiments and trials into paid usage and long-term customers.

Founder & Researcher Engagement

• Work directly with AI startup founders, Heads of ML, researchers, and early infra engineers.
• Understand customer workloads (training vs. inference), growth plans, and constraints (budget, speed, scale).
• Act as a trusted partner, not a transactional seller.

AI & GPU Cloud Sales

• Confidently discuss model training, inference, GPU scaling, and performance trade-offs.
• Position GMI Cloud’s GPU infrastructure as a solution to real AI scaling problems.
• Partner closely with Solution Architects to support trials, PoCs, and onboarding.

Account Growth

• Drive expansion through increased usage, larger clusters, and longer commitments.
• Maintain close relationships with customers as they grow from early-stage to production.
• Feed market and customer insights back to the team.

What We’re Looking For

Experience

• 3–6 years of experience in account management, sales, or business development in AI, cloud, or infrastructure.
• Experience selling to technical customers (founders, engineers, researchers).
• Prior exposure to AI startups, research labs, or developer-first products is strongly preferred.

AI & Technical Fluency

• Familiar with AI/ML workflows, including model training and inference.
• Comfortable discussing GPUs, scaling, performance, and basic AI infrastructure concepts.
• You don’t need to write models — but you need to understand how they run.

Ecosystem & Network

• Existing relationships or strong familiarity with the Bay Area AI startup and VC ecosystem.
• Comfortable attending meetups, demo days, research events, and building relationships from scratch.

Mindset

• Self-starter who can operate without heavy inbound or brand-driven demand.
• Curious, energetic, and comfortable with ambiguity.
• Motivated by ownership, growth, and impact — not just process.

Success Metrics

• Revenue attainment against quota.
• Pipeline built through outbound and ecosystem-driven efforts.
• Conversion from trials to paid usage.
• Account expansion and retention.

Why Join GMI Cloud

• Sell a product that AI teams genuinely need — GPU compute at scale.
• Work directly with founders and researchers building next-generation models.
• High ownership, high visibility, and real impact in a growing AI infrastructure company.
• Competitive 50/50 OTE structure with meaningful upside.