Accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance, and integration strategy of the client's enterprise AI systems, ensuring that AI solutions operate as secure, scalable, compliant, and business-aligned systems across models, applications, infrastructure, data, networks, and external dependencies. That means the architect will have visibility across the entire chain: Business Rules, AI Platform, Models, Data/Knowledge Graphs APIs/Integration Network, Infrastructure, Security Deployment, Operations, Monitoring.

The core responsibilities for the job include the following: End-to-end AI system architecture:

- Define the overall architecture of AI systems across models, agents, applications, data, APIs, infrastructure, and external services.
- Establish architecture principles, reference architectures, and technology standards.
- Define the technology selection principles and coding standards.
- Define the architecture standards to be followed by individual AI products.
- Ensure architecture supports scalability, resilience, performance, and maintainability.

Infrastructure and deployment

- Define/approve the deployment architecture across cloud/on-premise/hybrid environments for both Maveric and client environments.
- Define/approve requirements for Kubernetes, GPU infrastructure, storage, networking, and compute.
- Establish/approve deployment, release, and rollback patterns for AI systems.
- Define checklists and guidelines to ensure production-readiness of AI products.

AI engineering ecosystem development

- Define the standardized and reusable capabilities, such as the following, that need to be consumed by all Maveric AI products in a standardized manner.
- Foundation models, AI gateways, model routing, vector databases, prompt management, RAG, guardrails, observability, and AI security.
- Define how Maveric AI platforms consume centralized platform capabilities.
- Work with the delivery and integration leader to create the reusable services.
- Determine what should be centralized as a platform capability versus embedded within individual AI products.

Business rules and AI controls:

- Ensure business rules, policies, decision logic, and human-in-the-loop controls are properly incorporated into the Maveric AI Platforms.
- Define boundaries between LLM/model behavior and deterministic business logic (i. e., what goes to the LLM vs. what is not going to the LLM).
- Define the model selection guidelines.




- Ensure AI products follow the architecture patterns in a manner in which their outputs can be controlled, validated, and audited.

Integration and external ecosystem

- Own the architectural integration of AI systems with core banking/enterprise applications, APIs, identity platforms, data platforms, external AI/model providers, third-party services, and enterprise networks.
- Assess dependencies and architectural risks associated with external providers. Security, risk, and compliance:
- Ensure AI architecture incorporates security and regulatory requirements.
- Define controls for data privacy, model security, prompt injection, data leakage, access control, and model abuse.
- Work with cybersecurity, risk, legal, and compliance teams to establish AI controls.
- Ensure appropriate auditability and traceability are defined and implemented.

Reliability and operations

- Define SLOs, RTO/RPO, and operational readiness requirements.

Technology and vendor strategy

- Evaluate AI technologies, models, platforms, and vendors.
- Define technology selection criteria and enterprise standards.
- Design standards for open-source tool stack selection.
- Approve open-source tools before they are deployed in the Maveric workplace.
- Establish technology lifecycle and obsolescence strategy.

Architecture governance

- Review and approve AI solution architectures.
- Establish architecture review checkpoints.
- Maintain enterprise AI reference architecture and standards.
- Identify and manage technical debt and architectural risks.

Requirements

- Someone with 15+ years of experience in enterprise architecture having hands-on experience in architecting and implementing AI platforms and solutions.
- Typical skills: The role is for someone who is T-shaped, rather than an expert only in AI.
- Core: Enterprise architecture, AI governance, AI/ML architecture, generative AI/LLMs/agents, cloud and hybrid architecture, Kubernetes/container, APIs and integration, data architecture, networking, cybersecurity, DevSecOps/CI-CD, observability/SRE.

Company Summary





Founded in 2011 World Vision Softek is a trusted Indian IT solutions company serving a global clientele. With over a decade of experience in delivering mission-critical technology, we work closely with enterprises and SMBs as an extended IT partner throughout their digital transformation journey. We are an IT Consulting, Bespoke Solutions and Digital Products company, helping enterprises transform and scale through smart digital technologies. From cloud platforms and mobile applications to enterprise software, AI/ML solutions, digital marketing and branding, we design and deliver tailored technology solutions that align with your business goals. As a committed IT consulting partner, World Vision Softek works as an extended IT department for your organisation, delivering mission-critical systems with reliability and precision. With 15 years of experience in web and software solutions, we have successfully served more than 1000 clients across 21 countries, backed by a team of experts from both technology and management domains. To be the globally admired solution specialist by focusing on delivering quality technology solutions to the world. To create value for our clients by delivering the best technology solutions, being process-driven, and being customer service oriented.

Why Join Us We're a lean organisation, comprised of an experienced and quality-conscious team, that efficiently delivers mission-critical applications and technology solutions to businesses. ISO standard trained team and complete internal business processes automated with our own ERP solution!

Required Skills ['Generative AI', 'AI', 'AI/ML', 'Architect', 'Artificial Intelligence', 'cloud', 'container', 'Enterprise Architect', 'GenAI', 'hybrid cloud', 'Kubernetes', 'LLM', 'platform', 'Principal Architect', 'Solutions Architect']

Additional Information

Source recruiter: Shravani Pratapa Source recruiter designation: Recruiter Company tagline: Full-service IT business solutions Employee count: 10 Company founded: 2011 Benefits: Flexible working hours, Remote working options Company tech stack: DevSecOps, Java, AWS, JSON, HTML, TensorFlow, PyTorch, Hugging Face, LangChain, Llamaindex, C#, Python Website: https://wvsoftek.com/ LinkedIn: https://www.linkedin.com/company/wvsoftek/about/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: Full-service IT business solutions Logo: https://media.instahyre.com/images/profile/base/employer/56038/6d47240266/1730446429301.webp

📌 Enterprise AI Architect (Bangalore East)
🏢 HuntingCube
📍 Bangalore East