---
title: 'Architect – Agentic AI, Cloud Transformation & Application Modernization - R01570510 at Brillio'
canonical: 'https://feeny.ai/job/architect-agentic-ai-cloud-transformation-application-modernization-r01570510-1h1b71q1hftz'
type: 'job'
last_seen: '2026-09-13'
---

# Architect – Agentic AI, Cloud Transformation & Application Modernization - R01570510 at Brillio

- **Company:** Brillio
- **Location:** New York New York, United States
- **Compensation:** $155k–$165k
- **Work type:** onsite
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.lever.co/brillio-2/fb4a95e8-9cbe-4c32-a31c-3a148b17791f

## Job description

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Architect – Agentic AI, Cloud Transformation & Application Modernization

Primary Skills

- AWS Networking, AWS Kenesis, AWS Elastic Cache, AWS PaaS Services, AWS EKS, AWS Cognito, Solution Architecture - AWS, AWS Redshift

Job requirements

- Experience Range: With at least 7 years of experience leading enterprise architecture, cloud transformation, and application modernization initiatives, including substantial hands-on expertise with AWS solutions and Agentic AI platforms.

Key Responsibilities:

1. Define and govern enterprise architecture frameworks, standards, and reference architectures to support digital transformation and modernization initiatives across cloud and AI domains.
2. Lead end-to-end AWS cloud migration projects, including designing landing zones, developing migration strategies (re-host, re-platform, re-factor), and implementing hybrid cloud architectures ensuring scalability, security, and high availability.
3. Architect and drive application modernization from monolithic to microservices architectures, leveraging API-first and cloud-native patterns and integrating AI-driven tools for code analysis and automation.
4. Design, implement, and optimize multi-tenant SaaS platforms and integration architectures, including APIs, middleware, and event streaming solutions to enable scalable, reliable services.
5. Provide technical leadership across engineering teams, promoting adoption of modern engineering practices, microservices, event-driven architecture, and CI/CD pipelines using AWS-native tools.
6. Establish and enforce architecture governance for security, compliance, and risk management, implementing Infrastructure-as-Code, DevSecOps, and observability best practices.
7. Collaborate with C-level stakeholders and cross-functional teams to align technology strategy with business objectives, leading architecture workshops and ensuring stakeholder buy-in.
8. Mentor and guide delivery teams, conducting design reviews, technical assessments, and ensuring successful execution of transformation programs.

Required Skills:

1. Expertise in AWS architecture, including services such as Cognito, EKS, Elasticache, Kinesis, Redshift, IAM, S3, CloudFront, Route 53, Aurora, and RDS.
2. Advanced experience with AWS PaaS services and networking concepts.
3. Hands-on experience with cloud migration strategies and implementation on AWS.
4. Proficiency in designing and implementing microservices and distributed systems architectures.
5. Strong programming skills in Go, Java, Python, Node.js, ReactJS, TypeScript, and JavaScript.
6. Experience with service communication protocols such as REST, gRPC, and Thrift.
7. Expertise in event-driven architectures and platforms such as Kafka.
8. Knowledge of Infrastructure-as-Code tools (e.g., Terraform, AWS CloudFormation).
9. Experience with CI/CD pipelines, DevSecOps, and observability tools (e.g., Datadog, OpsGenie).
10. Hands-on experience with Agentic AI, LLMs, and AI platform architecture (RAG, orchestration).

Preferred Skills:

1. Experience with GenAI platforms such as Azure OpenAI, AWS Bedrock, or OpenAI APIs.
2. Exposure to AI-assisted engineering tools including GitHub Copilot, Gemini, Claude Code, and VS Code.
3. Familiarity with enterprise architecture frameworks such as TOGAF.
4. Knowledge of data engineering, analytics, and MLOps/AIOps frameworks.
5. Experience with SaaS operating models and multi-tenant platform design.
6. Familiarity with AI workflow orchestration tools (e.g., Databricks, Airflow, Temporal, Opty).

Desired Qualifications:

1. Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline.
2. AWS Certified Solutions Architect or AWS Professional Architect certification.
3. TOGAF or equivalent enterprise architecture certification.

Know more about PPE: https://www.brillio.com/platform-and-product-engineering/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

## Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

## #LI-AY1

Know what it’s like to work and grow at Brillio: Click here

## 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)

## Other roles at Brillio

- [Junior Associate - R01571221](https://feeny.ai/job/junior-associate-r01571221-brillio-dallas-texas-jgj7bcjar2ag) — Dallas Texas, United States
- [Senior AI/ML Engineer - R01570948](https://feeny.ai/job/senior-ai-ml-engineer-r01570948-brillio-bengaluru-29s8shps6229) — Bengaluru, India
- [Lead Engineer - R01571150](https://feeny.ai/job/lead-engineer-r01571150-brillio-hyderabad-andhra-pradesh-wmcbwhcd6t49) — Hyderabad Andhra Pradesh, India
- [Senior Lead Engineer - R01571149](https://feeny.ai/job/senior-lead-engineer-r01571149-brillio-bengaluru-fhsvr076atmc) — Bengaluru, India
- [Architect - R01571148](https://feeny.ai/job/architect-r01571148-brillio-bengaluru-gvcnfv39n8xw) — Bengaluru, India
- [Lead AI Engineer I - R01571162](https://feeny.ai/job/lead-ai-engineer-i-r01571162-brillio-bengaluru-rtrgh2fve4py) — Bengaluru, India
- [Analyst - R01571044](https://feeny.ai/job/analyst-r01571044-brillio-bengaluru-2kk6t0zqex1s) — Bengaluru, India
- [Analyst - R01571043](https://feeny.ai/job/analyst-r01571043-brillio-bengaluru-jpq094dqyfxh) — Bengaluru, India
- [Analyst - R01571042](https://feeny.ai/job/analyst-r01571042-brillio-bengaluru-rf0v2k3en8ke) — Bengaluru, India
- [Senior Lead Quality Engineer - R01569137](https://feeny.ai/job/senior-lead-quality-engineer-r01569137-brillio-chennai-tamil-nadu-1f88fgg6cras) — Chennai Tamil Nadu, India