Enterprise AI Architect
Salary
Not disclosed
Experience
5-8 Years
Applicants
0
Views
106
Enterprise AI Architect
We are seeking a skilled Enterprise AI Architect with 5?8 years of experience in designing scalable AI/ML solutions aligned with enterprise architecture standards, security policies, data governance frameworks, and regulatory requirements. The ideal candidate should have expertise in AI platform architecture, cloud technologies, data integration, and AI solution deployment. The candidate will work closely with Data Science, Engineering, Security, Infrastructure, and Business teams to define AI architecture frameworks that support enterprise-wide AI adoption.
Key Responsibilities
- Design end-to-end AI/ML architecture solutions for enterprise applications.
- Define scalable AI platform standards, integration patterns, and governance models.
- Collaborate with business and technical stakeholders to align AI initiatives with enterprise strategy.
- Architect secure and compliant AI systems across cloud and on-premise environments.
- Define data architecture and AI integration frameworks.
- Support deployment, monitoring, and lifecycle management of AI solutions.
- Ensure compliance with security, privacy, and regulatory standards.
- Evaluate emerging AI technologies and recommend enterprise adoption strategies.
- Work closely with MLOps, Data Engineering, and Cloud teams for platform enablement.
- Maintain architecture documentation and standards.
Requirements
- Mandatory Skills: Strong experience in AI/ML solution architecture, enterprise architecture frameworks, cloud architecture.
- Expertise in Python, SQL, API Integration, Microservices.
- Experience with AWS, Azure, GCP, AI/ML platforms, data platforms.
- Knowledge of MLOps, data governance, security frameworks, regulatory compliance.
- Familiarity with Kubernetes, Docker, CI/CD.
- Strong understanding of scalable distributed systems.
- Excellent stakeholder management and communication skills.
- Preferred Skills: Experience with Generative AI, LLM architecture, AI governance frameworks.
- Knowledge of Responsible AI, AI explainability, risk management.
- Exposure to Databricks, Snowflake, vector databases.
- Familiarity with TOGAF, enterprise integration patterns, event-driven architectures.
- Experience in regulated industries such as BFSI or Healthcare preferred.
Work Arrangements
- Type: Full-Time
- Location: Bengaluru, Karnataka, India
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.