Senior Solutions Architect - Machine Learning & AI

An Insight Global client is seeking a highly skilled and experienced Solutions Architect with a strong focus on AI/ML technologies to join their dynamic team. The ideal candidate will have a deep understanding of artificial intelligence, machine learning, and data science, coupled with a strong background in Pre-Sales Solution Architecture. You will be responsible for educating clients on AI/ML, articulating how their AI/ML experts can help them build custom solutions/software, and overseeing AI/ML project plans and contracts that drive business value for their clients. This role requires a blend of technical expertise, strategic thinking, and excellent communication skills.

Base Compensation: $150,000-$180,000

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

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Required Skills & Experience

BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience or 10 years of overall experience without a degree
AI or ML specialty certification (cloud agnostic)
Understanding of ML data preparation, model development, model deployments
Expertise in software development and/or software engineering experience (primarily Python)
Understanding of AWS, Azure, and/or Google Cloud Machine Learning Services
Understanding of machine learning frameworks (e.g. TensorFlow, PyTorch, etc.)
Understanding of one or more public cloud IaaS services with hands-on experience with cloud migrations, deployments, etc
Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, EKS, ECS, etc.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.