AI Solutions Architect
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Job description
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., * 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., * 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.
Requirements
Do you have experience in Project stakeholder communication?, 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., * 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., * 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.
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Bereavement leave, * 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.
About the company
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., 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.
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