AI Solutions Architect

Blue Orange Digital • New York, NY

11h • $170,000 - $185,000 • Remote

About The Position

Blue Orange Digital is seeking an AI Solutions Architect for a hands-on, client-facing role. The primary focus will be on designing and delivering AI solutions for clients, with an immediate emphasis on a major international engagement. This role requires an individual who can architect AI systems, contribute to complex technical projects, and collaborate closely with client teams to deliver production-grade work. The architect will manage technical workstreams from discovery to delivery, combining strong engineering skills with effective communication as a trusted advisor. The role involves understanding both technology and business needs, backed by practical experience in building and deploying AI systems. This position reports to the engineering leadership and offers opportunities for career growth and increased responsibility based on client impact. The role utilizes an AI-augmented workflow, leveraging AI tools and virtual agents for tasks such as client research, documentation, competitive analysis, and proposal support, allowing the architect to concentrate on complex technical challenges and client relationship building.

Requirements

• 5 to 8 years of progressive experience in data engineering, cloud architecture, AI/ML, or technology consulting, with a proven track record of hands-on technical delivery.
• Solid technical credibility in AI/ML, at least one major cloud platform (AWS, Azure, or GCP), and modern data infrastructure (Databricks, Snowflake, dbt).
• Working familiarity with agentic AI, LLMs, and generative AI.
• Experience contributing to data and AI transformation projects for enterprise clients, with the ability to own a workstream end to end.
• Strong client-facing skills, comfortable pairing with client engineers and presenting work to technical and business stakeholders.
• Clear communicator who translates complex technical concepts into business impact.
• Self-directed and resourceful, comfortable figuring things out and taking ownership of work.
• Comfort operating within an AI-augmented workflow, actively using automation tools to amplify output.

Nice To Haves

• Hands-on experience building and deploying production AI/ML systems at scale, not just advisory work.
• Gaming experience: Experience in the gaming industry (including casino and integrated resort gaming), which is a strong advantage for this engagement.
• Hospitality experience: Experience in hospitality, entertainment, or resort and leisure businesses.
• Degree in Computer Science, Data Science, AI/ML, or a related technical field.
• Prior experience at a boutique or mid-size consulting firm where you wore multiple hats and operated with autonomy.
• Multilingual capability and international experience.

Responsibilities

• Architect and build end-to-end AI solutions for clients, from requirements through system design, technology selection, and hands-on delivery, ensuring solutions are production-grade, scalable, and aligned to business outcomes.
• Contribute hands-on across AI/ML pipelines, agentic systems, LLM deployments, cloud infrastructure (AWS, Azure, Databricks, Snowflake), and modern data platforms.
• Participate in technical deep-dives, design reviews, and architecture sessions with client engineering teams, maintaining high standards for code quality, testing, and documentation.
• Evaluate emerging AI frameworks, foundation models, and tooling, distinguishing production-ready technologies from hype and implementing the best solutions for clients.
• Serve as a trusted technical contact for client stakeholders, supporting AI strategy workshops, technology assessments, and roadmap sessions to translate AI capabilities into business value.
• Build and maintain strong, trust-based relationships with client technical leaders and engineers, embedding with their teams to accelerate delivery.
• Communicate clearly across diverse audiences, explaining the significance of architectural decisions to both data engineers and business sponsors.
• Develop domain expertise in client industries, understanding business models, data ecosystems, and operational realities to maximize AI's value creation.
• Build reusable reference architectures, solution accelerators, and patterns to facilitate faster delivery and stronger proposals.
• Support pre-sales activities by scoping engagements, validating technical feasibility, and identifying expansion opportunities within client accounts.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• 401(k) matching
• Unlimited PTO
• Paid parental leave
• Bereavement leave
• Conference speaking opportunities
• Thought leadership platform
• Increasing scope and leadership responsibility over time
• All conference, travel, accommodation, and per diem costs are covered.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED