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AI Solutions Architect

Solutions EngineerSolutions EngineerOtherRemoteSeniorTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

134 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglishAWSAzureGCP

Job Description

AI Solutions Architect

Aimpoint Digital

• 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.

Job 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

  • Professional development opportunities
  • Flexible work arrangements

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