
Senior Solutions Architect
- Austin, TX
- Permanent
- Full-time
- Partner with sales executives to design and deliver AI-powered solutions tailored to enterprise challenges.
- Engage with clients to understand business needs, identify opportunities, and propose technical strategies.
- Lead solution architecture design across cloud, datacenter, and hybrid environments, including AI/ML deployment.
- Build and present compelling technical demonstrations, proofs of concept, and workshops.
- Guide customers through hosting, training, fine-tuning, and deploying large language models and AI solutions.
- Collaborate with product and engineering teams to inform roadmap development and ensure solution alignment.
- Support partner ecosystem growth through enablement, joint solution design, and go-to-market initiatives.
- Ensure compliance with responsible AI practices and promote trustworthy AI adoption.
- Datacenter and cloud infrastructure (Azure, AWS, GCP)
- AI/ML model development, deployment, and optimization (LLMs, frameworks, training, fine-tuning, inference)
- Networking and security, SDDC platforms, storage & availability
- Cloud management platforms, Virtual Desktop Infrastructure (VDI), Hyper-Converged Infrastructure (HCI), IoT
- Strong proficiency with Python, REST APIs, JavaScript, React, Jupyter notebooks
- Consultative sales techniques with proven customer engagement success
- Strong communication skills for both technical and executive-level presentations
- Channel partner management and enablement experience
- Contract negotiations, proposals, and opportunity compliance management (Salesforce experience preferred)
- Self-starter, adaptable, and collaborative personality with high integrity
- Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree a plus)
- 6+ years of professional experience in enterprise technology roles
- 3+ years as a technical or solution architect designing and implementing enterprise AI/ML solutions
- Proven expertise in cloud-based AI stacks (Azure, AWS, GCP AI/ML services)
- Familiarity with leading Generative AI platforms (Azure OpenAI, Anthropic, Meta, Google, Amazon)
- Experience presenting complex technical concepts to diverse stakeholders
- Certifications in Azure, AWS, or GCP highly desirable
- Strong working knowledge of machine learning, statistics, and deep learning methods
- Demonstrated experience with responsible AI and trustworthy AI practices