Job Summary

BigTapp is seeking a Senior AI Architecture Specialist to lead the design and implementation of enterprise AI solutions. The role involves architecting scalable AI-enabled applications, integrating Azure AI services, and guiding engineering teams in adopting modern AI architectures aligned with business objectives.

Mandatory Skills

- Hands-on experience with Microsoft Azure AI services (Azure OpenAI, AI Search, Cognitive Services)

- Strong AI solution architecture & integration experience

- Expertise in Full-stack development (backend + frontend frameworks)

- Experience designing scalable cloud architectures on Azure

- Advanced knowledge of DevOps & CI/CD pipelines

- Experience with secure coding and security best practices

- Strong understanding of API integrations and microservices architecture

- Experience in production deployment and migration of AI workloads.

Key Responsibilities

- Lead end-to-end AI solution architecture and implementation

- Integrate AI capabilities into new and existing enterprise applications

- Design secure, scalable, and high-performance architecture on Azure

- Perform code optimization and security reviews

- Manage and migrate AI infrastructure (Azure OpenAI, AI Search, etc.)

- Establish DevOps and CI/CD best practices for AI deployments

- Mentor developers and provide technical leadership.

Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred.

Technical Skills

- Azure OpenAI & Azure AI Services

- AI Search / Cognitive Services

- Full-stack frameworks

- DevOps & Automation pipelines.

Soft Skills

- Leadership and mentoring ability

- Strong communication and stakeholder management

- Analytical thinking and problem-solving

- Ability to work with cross-functional teams.

Good to Have

- AI platform migration experience

- Enterprise AI transformation exposure

Work Experience

- Minimum 7+ years in software engineering / solution architecture

- Hands-on experience in AI integration and enterprise systems.

Compensation & Benefits:

- Competitive salary and annual performance-based bonuses

- Comprehensive health and optional Parental insurance.

- Optional Retirement savings plans and tax savings plans.

Key Result Areas (KRAs)

- Successful architecture and deployment of AI solutions

- Adoption of scalable and secure AI frameworks across projects

- Improvement in application performance and reliability

- Effective collaboration with business and delivery teams

- Knowledge sharing and team capability enhancement

Key Performance Indicators (KPIs)

- Number of AI solutions successfully deployed to production

- Performance improvement metrics (latency, cost optimization, scalability)

- Reduction in production issues through architecture governance

- Adherence to delivery timelines for solution design

- Stakeholder satisfaction and technical review feedback scores