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Qualitest · 2 months ago

#20444 - Digital Engineering - Gen AI Architect

California, United States

Full-time

Onsite

Senior Level, Lead/Staff

$160K/yr - $180K/yr

12+ years exp

Qualitest is a leading AI-powered Quality Engineering Company seeking a Digital Engineering - Gen AI Architect to join their growing team. The role involves leading the design, architecture, and delivery of enterprise-grade AI solutions, ensuring they are scalable, secure, and aligned with business goals.

ConsultingEnterprise SoftwareInformation ServicesInformation TechnologyOutsourcingQuality AssuranceSoftwareTest and Measurement

H1B Sponsor Likely

Responsibilities

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines

Design and implement scalable AI microservices and APIs integrated into existing enterprise ecosystems (Azure, AWS, GCP)

Lead PoCs and pilot implementations for AI-first use cases such as intelligent automation, code generation, knowledge assistants, and predictive analytics

Define and evolve the organization’s AI architecture strategy, focusing on scalability, security, and ethical AI principles

Define and design AI Assurance strategy. Define key metrics and approaches to test AI (Traditional and GenAI) and work with the platform team to automate the process of capturing and reporting on key metrics

Introduce emerging Gen AI frameworks (LangChain, LangGraph, CrewAI, OpenAI Agents SDK, etc.) to enable multi-agent orchestration and intelligent workflow automation

Build reusable AI accelerators, tools, and frameworks to standardize model deployment, evaluation, and governance

Partner with clients to identify high-value AI opportunities and translate business problems into technical blueprints

Lead technical discussions, RFP responses, and client demos showcasing Gen AI capabilities and ROI

Collaborate with account leaders to shape AI roadmaps and innovation strategies for enterprise clients

Oversee architecture reviews and ensure best practices in AI model lifecycle management (training, fine-tuning, inference, observability)

Guide engineering and data science teams in adopting AI-first design principles, model operationalization (MLOps/LLMOps), and continuous learning loops

Ensure compliance with data privacy, responsible AI, and enterprise governance standards

Build and scale the Generative AI practice across North America — mentoring architects, engineers, and data scientists

Collaborate with global CoE and platform teams to enhance reusable AI assets, domain-specific models, and evaluation frameworks

Evangelize AI-first engineering through thought leadership, workshops, and industry events

Qualification

Generative AIAI/MLEnterprise architectureCloud-native platformsLarge Language ModelsRAG architectureAPIsMicroservicesCommunication skillsLeadership skills

Required

15+ years in software engineering, solution architecture, or digital transformation roles

5+ years of hands-on experience in AI/ML, NLP, or Generative AI system design

Deep knowledge of LLMs, vector databases, and orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.)

Strong understanding of RAG architecture, fine-tuning (LoRA/QLoRA), embeddings, and prompt engineering

Expertise in cloud-native AI platforms — Azure OpenAI, AWS Bedrock, Vertex AI, or similar

Proven ability to integrate AI models into enterprise systems using APIs, microservices, and event-driven architectures

Excellent communication, storytelling, and client engagement skills — able to translate AI concepts into business value

Strong leadership in cross-functional environments involving AI research, engineering, and business stakeholders

Preferred

Prior experience leading enterprise AI transformations or building Gen AI Centers of Excellence

Experience implementing agentic AI systems, AI copilots, or autonomous agents in real-world business scenarios

Certifications in AI/ML, cloud architecture (Azure/AWS/GCP), or Responsible AI practices

Benefits

Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career.

Clear view of your career and progression with the company – Qualitest is growing massively (since 2021 – tripled our employees base – we now have more than 8,000 engineers) and giving you the opportunity to grow with us.

Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.

Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.

Take care of health with enrollment into one of our competitive healthcare benefits. Qualitest will match towards your HSA if you choose to participate.

Never stop experimenting and learning with QCraft – our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.

Stay active and get rewarded with our Corporate Wellness Program. We pay your Gym membership and giving you opportunities to Earn additional vacation times for attendance the gym!

Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn – tap your network for net-worth.

We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers’ achievements.

Planning a vacation? Looking for car insurance? Get access to Qualitest Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!

Company

Qualitest

Glassdoor3.5

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions.

Founded in 1997

London, England, GBR

5001-10000 employees

http://www.qualitestgroup.com/

H1B Sponsorship

Qualitest has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2025 (12)

2024 (36)