Solutions Architect (AI)

Job Description

Solution Architect (AI)

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Location: NYC (Hybrid

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Pay: $200k - $250k Base + Bonus/Equity

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No Sponsorship Offered

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About the Role

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We are partnering with an innovative AI technology company that is seeking a Solution Architect to lead enterprise AI and data platform implementations from discovery through production deployment.

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This individual will serve as the technical leader across client engagements, translating complex business challenges into scalable architecture and production-ready solutions.

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The ideal candidate will have a background in Data Science, Data Architecture, or Enterprise Data Platforms and strong client-facing experience. This is a highly hands-on role requiring the ability to design architecture, guide implementation, and work directly with C-Suite stakeholders.

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Responsibilities

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• Lead the technical design and delivery of enterprise AI, analytics, and data platform solutions from discovery through deployment and operational handoff.
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• Partner directly with business, data, analytics, engineering, security, and IT teams to gather requirements and define solution architecture.
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• Design scalable integrations across APIs, data platforms, identity systems, workflow tools, cloud infrastructure, and enterprise applications.
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• Translate ambiguous business problems into technical roadmaps, implementation plans, architecture diagrams, and measurable outcomes.
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• Develop proof of concepts, data workflows, AI solutions, automations, and production-ready implementations.
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• Establish standards around security, governance, reliability, observability, testing, and deployment within enterprise environments.
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• Communicate technical risks, architecture decisions, and implementation tradeoffs to both executive and technical audiences.
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• Drive adoption, user enablement, documentation, operational readiness, and successful production rollout.
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Must Have Qualifications

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• 5+ years of experience in a Solution Architect, Data Architect, Principal Data Engineer, Analytics Architect, Machine Learning Engineer, Technical Consultant, Implementation Architect, or Technical Delivery role.
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• Strong background in Data Architecture, Data Science, , Data Analytics, Data Platforms, or Enterprise Data Engineering.
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• Hands-on experience with Python, SQL, APIs, cloud platforms (AWS, Azure, or GCP), and modern data ecosystems.
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• Experience designing and deploying production-grade AI, analytics, machine learning, automation, or data-driven applications.
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• Proven ability to engage with executive stakeholders while translating business requirements into scalable technical solutions.
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• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field. Advanced degrees are highly preferred.
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