
AI Solutions Architect
Aimpoint Digital
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Lead end-to-end AI strategy engagements, including engagement planning, client management, delivery execution, and executive readouts.
- Lead AI and GenAI strategy workshops with business and technology stakeholders to identify, structure, and prioritize high-value use cases, with minimal oversight.
- Assess client current-state data, analytics, and AI maturity across people, process, technology, and governance; synthesize findings into clear strategic implications and recommendations.
- Define future-state AI capabilities, operating models, and governance frameworks that enable scalable, responsible, and value-driven AI adoption.
- Act as the AI solution architect within strategy engagements by designing conceptual and logical AI architectures, identifying appropriate AI patterns, and guiding platform and tooling decisions.
- Translate strategic intent into execution-ready artifacts, including AI roadmaps, use-case backlogs, reference architectures, and delivery sequencing plans.
- Partner closely across practice teams to ensure alignment between strategy, solution design, and downstream implementation.
- Evaluate technical options and tradeoffs and make informed recommendations grounded in business objectives.
- Develop business cases and value frameworks that quantify the expected impact of AI initiatives and support investment decisions.
- Lead executive-level communications, including steering committee updates, decision briefings, and final strategy readouts.
Requirements
- Bachelor’s degree in business, Information Systems, Computer Science, Engineering, or related field; MBA or equivalent experience preferred.
- 6+ years of experience in AI, analytics, data, or digital transformation roles, including consulting or enterprise advisory experience.
- Proven experience leading client engagements independently, including planning, facilitation, delivery, and executive communication.
- Strong working understanding of AI and GenAI solution patterns, analytics architectures, and modern data platform design using Snowflake, Databricks, AWS, Azure, or GCP.
- Experience designing conceptual and logical AI architectures, operating models, and roadmaps that guide downstream implementation.
- Ability to evaluate technical tradeoffs and make platform or approach recommendations aligned to business needs.
- Excellent communication and storytelling skills, with experience presenting to senior executives.
Benefits
- Health insurance
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI strategyGenAI strategydata analyticsAI maturity assessmentAI architecture designoperating modelsgovernance frameworksAI roadmapsuse-case backlogsbusiness case development
Soft Skills
client managementexecutive communicationplanningfacilitationstorytellingcollaborationleadershipstrategic thinkingproblem-solvingpresentation skills
Certifications
Bachelor’s degreeMBA