Key Responsibilities
1. AI Opportunity Identification & Strategy
• Assess the client’s 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
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Required Qualifications
• 10–15+ years in software engineering, architecture, or technology consulting
• 3–5+ 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
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Preferred Qualifications
• Experience implementing AI in enterprise engineering workflows
• Exposure to industry-specific AI use cases (depending on your client’s domain)
• Familiarity with DevOps, AIOps, and platform engineering
• MBA or equivalent business exposure is a plus
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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: 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.
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Key team members
Joseph Howard
John Johnson
Phil Jennings
Ashok Venkatraman
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