Qventus, Inc · 1 day ago

Principal Architect - GenAI

United States

Full-time

Remote

Lead/Staff

10+ years exp

Maximize your interview chances

AnalyticsArtificial Intelligence (AI)

Growth Opportunities

No H1B

Insider Connection @Qventus, Inc

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Architectural Leadership: Define, establish, and continuously refine the architectural roadmap for our Generative AI Studio, ensuring alignment with business objectives and staying ahead of technological advancements in AI.

Generative AI & Multimodal Expertise: Apply deep expertise in generative AI models (e.g., GANs, VAEs, Transformers, LLMs) and multimodal systems to design and implement advanced frameworks that support the development of agentic, market-ready products.

Agentic Product Development: Architect innovative solutions that enable the creation of intelligent, autonomous agents capable of complex tasks and interactions across diverse industry verticals, integrating multimodal inputs (text, image, audio) and outputs.

Scalability and Performance: Design architectures with a focus on scalability, performance, and security, ensuring our AI products operate efficiently and reliably in production environments.

Innovation & Research: Lead and contribute to cutting-edge AI research, integrating the latest methods, tools, and technologies, including multimodal models, into our architecture. Strengthen our leadership position in the GenAI community.

Tooling & Framework Mastery: Utilize and extend advanced AI tools and frameworks, particularly those for multimodal applications, driving the adoption of best-in-class solutions to accelerate innovation and product development.

Cross-functional Collaboration: Work closely with product managers, engineers, data scientists, and other stakeholders to translate business requirements into robust technical specifications and architectural designs.

Mentorship: Provide technical mentorship and guidance to engineering teams, promoting a culture of continuous learning, innovation, and technical excellence.

Governance & Standards: Establish and enforce architectural standards, best practices, and governance frameworks to ensure consistency, quality, and reliability across all AI-driven products.

Strategic Influence: Serve as a strategic advisor to executive leadership on all matters related to generative AI and multimodal architecture, playing a key role in shaping the company’s AI strategy and product roadmap.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

GenAILLMsMultimodal systemsAI architecturePythonTensorFlowPyTorchAWSGCPAzureAI toolsAgentic systemsMulti-agent frameworksGANsVAEsTransformersCloud platformsDistributed computingFull-Stack Proficiency

Required

10+ years of experience in software architecture, with a focus on AI and machine learning.

Proven track record of architecting and delivering complex AI-driven products to market, with a strong emphasis on generative AI and multimodal systems.

Extensive experience in launching GenAI products, including agentic systems, multi-agent frameworks, and similar technologies.

Deep expertise in generative AI models (GANs, VAEs, Transformers, LLMs) and multimodal models, with the ability to integrate multiple data types (e.g., text, images, audio) into cohesive AI-driven solutions.

Proficient in programming languages such as Python, and frameworks like TensorFlow, PyTorch, or similar, with hands-on experience in cutting-edge AI tools.

Strong knowledge of cloud platforms (AWS, GCP, Azure) and distributed computing systems, with an emphasis on scalability, high-performance computing, and security.

Demonstrated ability to lead, mentor, and influence teams in a high-stakes, innovative environment without direct managerial responsibilities.

Strategic thinker with strong analytical and problem-solving skills, capable of envisioning the future trajectory of AI technologies and their potential industry impacts.

Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders, fostering alignment and understanding across the organization.