We are looking for a Gen AI Architect to join our growing team in United States!
Role Overview:The Digital Engineering Gen AI Architect - North America will lead the design, architecture, and delivery of enterprise-grade AI solutions powered by Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG) pipelines. The ideal candidate will combine deep technical expertise in AI/ML systems with proven experience in enterprise architecture, ensuring solutions are scalable, secure, compliant, and aligned with business goals.
This role involves defining the technical roadmap for Generative AI initiatives, selecting, and integrating AI frameworks, orchestrating model lifecycle management, and guiding cross-functional teams to deliver production-ready GenAI solutions. You will be the go-to expert for translating high-level business needs into robust, future-proof AI architectures.
Key Responsibilities:AI Architecture & Solution Design:
- 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.
Innovation & Technology Leadership:
- 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.
Customer Engagement & Solutioning:
- 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.
Delivery Governance & Enablement:
- 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.
Practice & Capability Building:
- 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.
Required Skills & Experience:- 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.
Experience Level:- 12+ years overall experience in technology and digital engineering, with 5+ years of hands-on experience in AI/ML, with at least 3+ years in Generative AI (LLMs, RAG, multimodal, or agentic systems).
Preferred Qualifications:- 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:- Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
- 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 - QualityAI is growing massively (since Jan 2021 - added more than 2000 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.
- Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
- Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.
- A Competitive pay, the salary range for the role is $170,000 - $200,000.
If you like what you have read, send us your resume and let's start talking!
Intrigued to find more about us?
Visit our website at https://www.QualityAIgroup.com/
If you like what you have read, send us your resume and let's start talking!
LinkedIn: https://www.linkedin.com/company/qualityaigroup
