Senior Solutions Architect

Bulls Eye RecruitingAustin, TX, United States

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We are seeking a highly skilled AI Solutions Architect to join our client's growing team. This role blends technical expertise with consultative engagement to help customers unlock value from AI and advanced infrastructure solutions. You will collaborate closely with our enterprise sales team to design, present, and deliver transformative AI-driven solutions that accelerate customer adoption and outcomes. If you enjoy building custom integrations, deploying AI models, and guiding enterprises through technical complexity, this is the role for you.

Key Responsibilities

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.

Required Skills & Expertise

Hard Skills :

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

Soft Skills :

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

Qualifications

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

Posted On : Thursday, August 21, 2025

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