Sales Solution Architect

An Insight Global client is seeking a highly skilled and experienced Solutions Architect with a strong focus on AI 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, articulating how their AI experts can help them build custom solutions/software, and overseeing AI 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.

As a Senior AI Solutions Architect you will:

Represent the technical expertise of the company and act as a trusted AI advisor to customers in the sales process
Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements from prospective customers who are interested in building custom AI applications and solutions on AWS, Azure, and Google Cloud
Conduct workshops for GenAI and conversational AI use case development, data strategy, and machine learning model development & operations
Consult with prospects and architect solutions on public cloud platforms, leveraging your deep experience with public cloud compute, database, and network solutions, especially as they relate to AI managed services (i.e. Amazon Bedrock, SageMaker, Azure OpenAI, etc.)
Produce cost and labor estimates and SOWs for potential AI projects
Collaborate and participate in the creation of technical collateral, documentation, pitch and presentation materials (e.g. SOWs, HLDs, Decks, Reference Architectures)
Provide technical training sessions and workshops for Sales and Go to Market staff
Clearly document and communicate proposed architectures to implementation teams during and after the pre-sales cycle to validate and verify project success
Interface with the Product team and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements
Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies

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 .

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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 specialty certification (cloud agnostic)
Expertise in software development and/or software engineering experience (primarily Python)
Understanding of AWS, Azure, and/or Google Cloud Machine Learning Services
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.
Understanding IaC tools; e.g. Puppet, Ansible, CloudFormation, Terraform
Expertise in networking, compute, storage and OS fundamentals

Preferred:
Proficiency and/or willingness to pursue expertise across multiple clouds (AWS, Azure, Google)
Deep understanding of data storage paradigms (e.g. databases, data warehouses, data lakes, 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.