AI Solutions Architect

Posted Yesterday
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New York, NY, USA
Hybrid
180K-180K Annually
Senior level
Artificial Intelligence • Machine Learning • Database
The Role
Design and deliver AI solutions for clients, focusing on architecture, technical delivery, and client engagement while developing domain expertise.
Summary Generated by Built In
Company overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

About the Role

We are looking for an AI Solutions Architect to design and deliver AI solutions for clients, with an immediate focus on a major international engagement. This is a hands-on, client-facing role for someone who architects AI systems, contributes to complex technical engagements, and works shoulder to shoulder with client teams to ship production-grade work.

You will own technical workstreams from discovery through delivery, pairing the depth of a strong engineer with the communication skills of a trusted advisor. You speak the language of both the technology and the business, and you bring the credibility that comes from building and shipping real AI systems, not just advising on them. This role reports into our engineering leadership and offers a clear path to grow your scope and seniority as you build a track record of client impact.

Your AI-Augmented Workflow

At Blue Orange you operate with an augmented workflow powered by AI tools and virtual agents. From client research and architecture documentation to competitive analysis and proposal support, your automation stack handles the heavy lifting so you can focus on solving hard technical problems and building client trust. You continuously refine and expand this toolkit as part of your daily practice, modeling the tech-forward culture we bring to our clients.

What You Will DoTechnical Solution Delivery
  • Architect and build end-to-end AI solutions for clients, from requirements through system design, technology selection, and hands-on delivery. You make sure 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, holding a high bar for code quality, testing, and documentation.

  • Evaluate emerging AI frameworks, foundation models, and tooling, separating what is production-ready from what is hype and bringing the best forward for your clients.

Client-Facing Work
  • Serve as a trusted technical contact for client stakeholders, supporting AI strategy workshops, technology assessments, and roadmap sessions that translate AI capabilities into concrete 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 audiences, explaining why an architecture decision matters to both a data engineer and a business sponsor.

Domain and Practice Development
  • Develop domain expertise in the client's industry, understanding the business models, data ecosystems, and operational realities that shape how AI creates value.

  • Build reusable reference architectures, solution accelerators, and patterns that enable faster delivery and stronger proposals.

  • Support pre-sales activities by scoping engagements, validating technical feasibility, and identifying expansion opportunities within accounts.

What You Bring
  • 5 to 8 years of progressive experience in data engineering, cloud architecture, AI/ML, or technology consulting, with a 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), plus 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 your work to technical and business stakeholders.

  • A clear communicator who translates complex technical concepts into business impact.

  • Self-directed and resourceful, comfortable figuring things out and taking ownership of your work.

  • Comfort operating within an AI-augmented workflow, actively using automation tools to amplify your output.

Nice to Have
  • 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.

Travel and Location

This role is US remote, supporting an international client engagement, so you should be open to periodic travel abroad, including on-site visits with our client in Australia. These trips are occasional and typically run a couple of weeks at a time, giving you focused time on the ground to partner closely with client teams. All travel, accommodation, and per diem costs are fully covered.

Why Blue Orange
  • AI-first, not AI-curious: Build and ship production AI systems every day, working at the cutting edge of the technology rather than writing slide decks about it.

  • Hands-on culture: Blue Orange values depth. Our best people go from architecture to code review to client conversation in the same day.

  • Tech-forward workflow: Your augmented workflow and automation stack are not a perk, they are how we work, letting you move faster and go deeper than anyone at a traditional firm.

  • Real growth path: Start strong as an individual contributor with a clear path to grow your scope, seniority, and leadership responsibility as you build client trust and a track record of impact.

  • Elite team: With a high talent bar, you will work alongside some of the best AI engineers, data scientists, and strategists in the industry.

Compensation and Benefits
  • Base Salary: $180,000

  • Bonus Structure: Utilization-based performance bonus tied to billable hours. Minimum utilization 50%, bonus eligibility begins at 70%, scaling upward with a target of 80% or more.

  • Healthcare: Medical, dental, vision, and life insurance.

  • Retirement: 401(k) matching.

  • Time Off: Unlimited PTO, paid parental and bereavement leave.

  • Development: Conference speaking, thought leadership platform, and increasing scope over time.

  • Events: All conference, travel, accommodation, and per diem costs are covered.

Background checks may be required for certain positions and projects.

Blue Orange Digital is an equal-opportunity employer.

Skills Required

  • 5 to 8 years of experience in data engineering, cloud architecture, AI/ML, or technology consulting
  • Solid technical credibility in AI/ML and at least one major cloud platform (AWS, Azure, or GCP)
  • Experience with Databricks, Snowflake, dbt, and familiarity with agentic AI and LLMs
  • Strong client-facing skills and ability to communicate complex concepts
  • Self-directed and resourceful, able to take ownership of work

Blue Orange Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Orange Digital and has not been reviewed or approved by Blue Orange Digital.

  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision in current job postings, with some descriptions indicating particularly strong plan generosity. This points to a solid core insurance foundation for U.S.-based roles.
  • Retirement Support Current role descriptions consistently include a 401(k) with company match. This adds long‑term financial value to the overall package.
  • Leave & Time Off Breadth Certain postings specify unlimited PTO along with paid parental and bereavement leave. This breadth of time‑off options supports flexibility for varied life events.

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The Company
HQ: New York, NY
75 Employees
Year Founded: 2015

What We Do

Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.

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