Title : AI Architect

Location : Offshore India - Bangalore

Duration 3 Months

Role Purpose

Own the end-to-end AI solution architecture, ensuring -

1. Scalability

2. Security

3. Governance
4. Integration with enterprise systems, and
5. Alignment with business outcomes.

Key Responsibilities

1. Define AI and GenAI solution architecture for prioritized use cases.
2. Design scalable Azure cloud-native AI platforms and reference architectures.
3. Select appropriate AI technologies (GPT4/5), models, frameworks, and deployment patterns.
4. Establish AI governance, security, compliance, and industry standard AI guidelines.
5. Design integration patterns with enterprise applications, APIs, data platforms, and Azure ecosystems.
6. Drive architecture reviews and technical decision-making.
7. Define non-functional requirements including performance, cost, resilience, and observability.
8. Collaborate with business stakeholders,



product owners, and delivery teams to translate requirements into solution blueprints.
9. Guide MLOps/LLMOps implementation strategy and deployment models.
10. Ensuring that the infra is available for the dev team to host their applications and dashboards.
11. Reviewing the Dev team’s scripts and codes to ensure quality standards.
12. Mentor engineering teams and establish best practices.

Required Experience

- Anyone with development experience in the past for AI projects.
- Proven track record on AI projects.
- 8-10 years of experience

Required Skills

1. LLMs (GPT, Llama, Claude, Gemini)

2. RAG architectures

3. Agentic AI frameworks

4. Prompt engineering

5. Model evaluation and tuning

📌 AI Architect (Bengaluru)
🏢 LanceSoft Middle East
📍 Bengaluru