Senior Enterprise AI Architect
Salary
Not disclosed
Experience
8-12 Years
Applicants
0
Views
97
Senior Enterprise AI Architect
We are seeking an experienced Senior Enterprise AI Architect with 8?12 years of expertise in defining enterprise-wide AI strategies, scalable AI architectures, governance frameworks, and secure AI ecosystems. The ideal candidate should have deep experience in AI platform modernization, enterprise integration, cloud-native AI architecture, and regulatory compliance. This role involves leading enterprise AI transformation initiatives and defining architecture roadmaps aligned with organizational goals.
Key Responsibilities
- Define enterprise AI architecture strategy and roadmap.
- Lead design and implementation of scalable AI ecosystems and platforms.
- Establish AI governance, compliance, security, and operational standards.
- Architect AI integration with enterprise systems and data platforms.
- Define reference architectures for AI/ML, GenAI, and analytics workloads.
- Collaborate with executive leadership, security, and engineering teams.
- Ensure AI solutions align with enterprise risk, privacy, and regulatory standards.
- Evaluate emerging AI technologies and define adoption frameworks.
- Mentor architecture and engineering teams on AI best practices.
- Drive enterprise modernization initiatives using AI technologies.
Requirements
- Mandatory Skills:
- Strong expertise in enterprise AI architecture, cloud-native architecture, and distributed systems.
- Experience with AWS, Azure, GCP, Kubernetes, Docker, and API architecture.
- Strong understanding of AI governance, security architecture, regulatory compliance, and data governance.
- Knowledge of MLOps, DevSecOps, CI/CD, and enterprise integration frameworks.
- Experience designing AI platforms, data lakehouse architectures, and scalable enterprise AI systems.
- Strong stakeholder management and leadership capabilities.
- Preferred Skills:
- Expertise in Generative AI, LLM architecture, Responsible AI, and AI risk management.
- Experience with Databricks, Snowflake, vector databases, and knowledge graphs.
- Familiarity with TOGAF, Zachman, event-driven architecture, and Data Mesh.
- Exposure to AI compliance frameworks and ethical AI governance.
- Experience in BFSI, Healthcare, or highly regulated industries is preferred.
Work Arrangements
- Location: Bengaluru, Karnataka, India
- Type: Full-Time
- Remote: Not specified
Careers at Bootminds
At Bootminds, we help global enterprises launch, scale, and optimize their Global Capability Centers (GCCs) in India with clarity, governance, and impact.
We’re not about volume — we’re about quality outcomes: strategic GCC setup, expansion, and mission
critical staffing that moves the needle.
Who We Are
Bootminds partners with global leaders to turn bold GCC ambitions into high
performance reality — from advisory and execution to building teams that deliver long
term value.
Our approach is transparent, outcome
focused, and grounded in deep GCC expertise.
Who You’ll Work With
You’ll collaborate with:
Enterprise CXOs and GCC leadership teams driving India capability strategy.
High
impact engineering, data, and functional leaders building core teams.
Cross
functional experts in consulting, operations, and talent strategy.
What Sets Us Apart
GCC
First Mindset – We live and breathe capability centre design, launch, and growth — not generic staffing.
Strategic Staffing – We staff with purpose, aligning skills and roles to real GCC outcomes.
Service
centric Culture – Whether advising leaders or partnering with candidates, we bring clarity, accountability, and respect to every interaction.
Why Join Us
Influence the blueprint of GCCs — the way global teams work, scale, and deliver from India.
Work with seasoned experts who’ve built, advised, and scaled capability centres worldwide.
Grow in a culture that values curiosity, ownership, and real impact.
If you want to help global companies build high
performing India capability hubs and love solving hard problems with clarity and grit — you’ll fit right in.