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.
Skills Required
- Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect
- 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 commercial versus open-source models and RAG versus fine-tuning tradeoffs
- Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain
- Experience integrating AI with enterprise systems and APIs
- Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance
- Experience working within regulated environments
- 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 ability to translate technical, business, security, and regulatory requirements into architectural decisions
- Healthcare experience with FHIR/HL7, Epic, or Oracle
- Financial services experience with payment data and core banking platforms
- Exposure to HIPAA, GxP/CSV, AML, Basel III, or SR 11-7
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
