Principal Architect R
Job Location:
Dallas, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Key Responsibilities
1. AI Opportunity Identification & Strategy
Assess the clients current engineering landscape SDLC processes and technology stack
Identify opportunities to embed AI/GenAI across development testing operations and business functions
Translate business challenges into AI-driven solutions and use cases
Build and prioritize a portfolio of high-impact AI initiatives
2. SDLC & Engineering Transformation
Evaluate and recommend enhancements to SDLC using AI including:
o AI-assisted coding (e.g. copilots)
o Automated testing and QA using AI
o Intelligent DevOps and AIOps
o Code modernization and refactoring using GenAI
Define reference architectures for AI-enabled engineering workflows
Drive adoption of AI-first engineering practices
3. Functional AI Use Case Development
Collaborate with business stakeholders to identify functional use cases across domains (e.g. customer experience operations supply chain etc.)
Develop solution concepts prototypes and value cases
Provide guidance on data requirements model selection and implementation approaches
4. Client Advisory & Stakeholder Engagement
Act as a trusted advisor and insider within the client organization
Engage with senior stakeholders (Engineering Product Business) to influence AI strategy
Present recommendations roadmaps and business cases to leadership
Bridge communication between client teams and internal delivery teams
5. Governance & Best Practices
Define AI governance responsible AI principles and compliance considerations
Recommend best practices for scalability security and model lifecycle management
Ensure alignment with enterprise architecture standards
Required Qualifications
1015 years in software engineering architecture or technology consulting
35 years of hands-on experience in AI/ML/GenAI solutions
Strong understanding of:
o LLMs prompt engineering and GenAI ecosystems
o AI/ML frameworks (e.g. TensorFlow PyTorch LangChain etc.)
o Cloud AI platforms (AWS Azure GCP)
Proven experience in SDLC transformation and engineering excellence initiatives
Experience in enterprise architecture and system design
Strong client-facing and consulting skills
Preferred Qualifications
Experience implementing AI in enterprise engineering workflows
Exposure to industry-specific AI use cases (depending on your clients domain)
Familiarity with DevOps AIOps and platform engineering
MBA or equivalent business exposure is a plus
Key Competencies
Strategic thinking with execution focus
Strong stakeholder management and influence
Ability to translate technical concepts into business value
Problem-solving and innovation mindset
High degree of ownership and client empathy
Know more about PPE: what its like to work and grow at Brillio: 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.
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Required Experience:
Staff IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
