Solutions Architect (AI)

Harnham; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Harnham is seeking a Solution Architect to lead enterprise AI and data platform implementations from discovery through deployment. The role combines hands-on design with executive stakeholder engagement to translate complex business challenges into scalable, production-ready solutions.

You will guide architecture across data science, data engineering, and analytics teams, delivering end-to-end production capabilities while enforcing security, governance, and reliability standards.

Qualifications

• 5+ years in solution/analytics architecture roles.
• Strong background in data architectures and enterprise data platforms.
• Hands-on experience with Python, SQL and cloud platforms.

Responsibilities

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

Skills

Data Architecture

Data Science

Data Analytics

Data Platforms

Enterprise Data Engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SQL

APIs

AWS

Azure

Job description

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.

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

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.

Responsibilities

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

Must Have Qualifications

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