Role: Senior AI Architect
Location: Hyderabad | Chennai | Pune | Bangalore
Experience: 12+ Years
JD / Specs:
Key Responsibilities
- Define target-state AI and data architecture aligned to business outcomes, enterprise architecture standards, and transformation roadmaps.
- Design end-to-end AI solution architectures covering data pipelines, model development, deployment, monitoring, security, and integration with enterprise applications.
- Build scalable and reusable assets, accelerators, reference architectures, frameworks, and patterns for enterprise AI adoption.
- Evaluate and validate solution options across cloud, AI, and enterprise application platforms such as SAP, Oracle, ServiceNow, and Salesforce.
- Lead architecture reviews, technical due diligence, feasibility studies, and proof-of-concept direction for AI initiatives.
- Collaborate with business leaders, delivery teams, product owners, security teams, and global stakeholders to shape credible and implementable solutions.
- Establish good practices for testing, deployment, observability, lifecycle management, and production support of AI systems.
- Drive architectural governance across responsible AI, compliance, privacy, model risk, and enterprise security requirements.
- Mentor engineering and architecture teams, influence critical technology choices, and support executive-level solution positioning.
Required Experience
- 12+ years of overall experience in enterprise technology, architecture, or digital transformation, with strong recent experience in AI/ML solution architecture and delivery.
- Proven hands-on experience designing and implementing production-grade AI or ML solutions for enterprise use cases.
- Experience across more than one enterprise platform, preferably SAP, Oracle, ServiceNow, Salesforce, or adjacent enterprise ecosystems.
- Experience working in architecture consulting, transformation programs, or complex enterprise modernization engagements.
- Demonstrated ability to work with CXOs, business stakeholders, and multidisciplinary global teams to influence architectural decisions.
- Strong understanding of enterprise integration patterns, API-led architecture, security, scalability, and non-functional design principles
