Job Description
The Opportunity: We are looking for a visionary Senior AI Solutions Architect to join our elite engineering team at QuantumLeap Dynamics. As we approach the pivotal year of 2026, we are redefining the boundaries of Artificial Intelligence and Machine Learning. You will not just write code; you will architect the neural infrastructure that powers the next generation of intelligent systems. If you thrive in ambiguity and are obsessed with the future of technology, this is your stage.
Why Join Us?
- Work on cutting-edge Generative AI and Autonomous Systems.
- Shape the technical roadmap for the 2026 era of digital transformation.
- Competitive compensation package with equity options.
- Remote-first culture with a hub in Austin, TX.
Key Responsibilities:
- Design and implement scalable, high-performance AI architectures capable of handling enterprise-grade data loads.
- Lead the technical vision for integrating Large Language Models (LLMs) into legacy and next-gen applications.
- Define best practices for MLOps, data governance, and ethical AI implementation.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver robust solutions.
- Conduct architectural reviews and mentor junior engineers to elevate team technical standards.
Qualifications:
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Strong understanding of cloud-native architectures (AWS, GCP, or Azure).
- Proven track record of deploying production-ready AI models at scale.
- Experience in designing systems for edge computing and real-time inference.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
Responsibilities
- Design and implement scalable, high-performance AI architectures capable of handling enterprise-grade data loads.
- Lead the technical vision for integrating Large Language Models (LLMs) into legacy and next-gen applications.
- Define best practices for MLOps, data governance, and ethical AI implementation.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver robust solutions.
- Conduct architectural reviews and mentor junior engineers to elevate team technical standards.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Strong understanding of cloud-native architectures (AWS, GCP, or Azure).
- Proven track record of deploying production-ready AI models at scale.
- Experience in designing systems for edge computing and real-time inference.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.