---
title: 'Applied AI Architect  - R01572122 at Brillio'
canonical: 'https://feeny.ai/job/applied-ai-architect-r01572122-brillio-new-york-q2bk0wa6vn7y'
type: 'job'
last_seen: '2026-10-18'
---

# Applied AI Architect  - R01572122 at Brillio

- **Company:** Brillio
- **Location:** New York, NY
- **Compensation:** $180k–$250k
- **Work type:** remote
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/brillio-2/2471a008-afb9-4abf-9d09-7ceaf5144415

## Job description

Applied AI Architect (Data, Systems & Governance) | Brillio Architect the Foundations of Enterprise AI Brillio is looking for an Applied AI Architect who can turn ambitious AI strategies into secure, scalable, enterprise-ready systems. You'll help determine how AI solutions should be designed, what models should power them, how enterprise data should flow through them, and how they can operate safely within highly regulated environments.

## About Brillio

Brillio is one of the fastest-growing digital technology service providers, helping Fortune 1000 organizations turn disruption into competitive advantage through innovative digital adoption. Our professionals combine deep technology expertise, design thinking, and a strong commitment to client success to deliver transformative outcomes. Brillio is recognized year after year as a Great Place to Work®, giving talented technology professionals the opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges.

## The Role

As an Applied AI Architect, you'll own the technical foundations that make enterprise AI possible. You'll bring together data architecture, AI/ML systems, cloud platforms, enterprise integration, security, privacy, and governance to design solutions that can move beyond experimentation and into production. Role Responsibilities: Design target architectures and scalable data pipelines for enterprise AI systems Architect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelines Evaluate and select AI models based on use case, performance, cost, latency, security, and governance requirements Design AI solutions that integrate with enterprise platforms including EHRs, core banking systems, CRM platforms, data lakes, and data warehouses Define and implement AI governance, compliance, privacy, and responsible AI frameworks Translate regulatory requirements into concrete technical and architectural controls Embed security, privacy, IAM, and data residency requirements from day one Design production environments across platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI Partner closely with AI Builders and Value Engineers throughout the lifecycle — from discovery through production Establish the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation Help move AI solutions from proof-of-concept into secure, scalable production environments Job Requirements: Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect, with hands-on experience designing and deploying AI solutions. Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures. Experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms. Experience evaluating AI models and understanding the tradeoffs between commercial and open-source models, as well as RAG versus fine-tuning. Experience with platforms and frameworks such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain. Experience integrating AI with enterprise systems and APIs. Healthcare experience with FHIR/HL7, Epic, or Oracle is a plus, as is financial services experience with payment data and core banking platforms. Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance. Experience working within regulated environments, with exposure to requirements such as HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable. Experience with enterprise security concepts including PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security. Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks. Strong communication skills and the ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions. If you're an architect who understands both the possibilities of AI and the realities of enterprise technology, security, data, and regulation, this is an opportunity to have a major impact. Join Brillio and help build the foundations for enterprise AI.

## About Brillio

## Company Overview
- **One-liner**: Brillio is a digital transformation consulting and technology services company that helps Fortune 1000 enterprises accelerate AI adoption and scale impact through its AI accelerator platform, ADAM.
- **Entity Type**: Private (backed by Bain Capital Private Equity)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2014
- **Founders**: Not publicly disclosed (CEO: Raj Mamodia)

## Core Business
- **Primary industries**: IT Services and IT Consulting; Digital Transformation; AI and Data Engineering; Customer Experience Transformation; Digital Engineering; Infrastructure Engineering
- **Target customers**: Fortune 1000 enterprises (B2B, Enterprise)
- **Mission / purpose statement**: “The Enterprise AI Accelerator” – helping companies move from AI ambition to scaled impact, faster.

## Products & Services
- **ADAM (Agentic Data and Application Management)**: A self-service LLM model garden and GenAI platform for building, testing, and deploying over a hundred GenAI use cases at scale. Core accelerator for Brillio’s delivery.
- **Business-led transformation**: Strategy consulting and business process modernization.
- **Customer experience transformation**: Design, digital product engineering, and omnichannel experience.
- **AI and data engineering**: Predictive models, enterprise search, RAG systems, AI copilots, autonomous agents, multi-agent workflows.
- **Digital engineering**: Application modernization, platform engineering, cloud-native development.
- **Infrastructure engineering**: Cloud infrastructure, security, MLOps/LLMOps, and observability.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (privately held)
- **Key Metric**: Annual revenue reported at **$1B** (latest available); total employees ~3,941 (+6.7% YoY) per LinkedIn, though company claims “over 6,000 customer-obsessed professionals” on its website.
- **Notable Investors / Partners**: Bain Capital Private Equity (parent company); Great Place to Work® certified in the USA.
- **Growth Signals**: +352 employees YoY; 14 delivery locations across North America, Europe, and Asia; expanding AI engineering roles; 616,797 LinkedIn followers (+24.4% yearly growth).

## Competitive Advantages
- **Enterprise AI focus**: Industrializing AI across every layer of the business – not just building demos but shipping production systems.
- **ADAM platform**: Proprietary accelerator that enables rapid deployment of GenAI use cases, shortening time-to-value for clients.
- **End-to-end ownership**: Engineers design, build, evaluate, and run agentic and GenAI systems that reach live users.
- **Scale and reach**: Global delivery footprint (USA, India, UK, Europe, Mexico, Canada, Romania) with deep Fortune 1000 client relationships.

## Strategic Focus
- **AI engineering at scale**: Moving AI from pilots to production with a focus on agentic systems, LLMOps, evaluation, security, and governance.
- **Continuous learning**: Brillio Academy, hackathons, mentoring, and certifications to keep skills current.
- **Talent development**: Hiring based on demonstrated ability (not just degrees); clear career paths from engineer to AI architect or technical leadership.
- **Diversity & inclusion**: Committed to a diverse, inclusive workplace; no discrimination based on protected characteristics.

## Why Work Here
- **Culture**: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
- **Work environment**: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
- **Learning & growth**: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
- **Remote / hybrid / office**: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
- **Benefits**: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
- **Interview process**: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

## Sources
1. [careers.brillio.com](https://careers.brillio.com/)
2. [brillio.com/about-us/who-we-are](https://www.brillio.com/about-us/who-we-are/)
3. [linkedin.com/company/brillio](https://linkedin.com/company/brillio)
4. [glassdoor.com/Reviews/Brillio-Reviews-E821879](https://www.glassdoor.com/Reviews/Brillio-Reviews-E821879.htm)
5. [wikipedia.org/wiki/Brillio](https://en.wikipedia.org/wiki/Brillio)

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