Location : Gurgaon or Hyderabad

Role :Solution Architect - GenAI & Agentic AI Platform

About the Role : Key Responsibilities

1. Architecture Assessment & Scalability Planning

- Assess current platform architecture, including data pipelines, model orchestration, APIs, and integrations.
- Identify bottlenecks and propose refactoring strategies to support rapid scale deployment of use cases
- Define a scalable, modular reference architecture adaptable across brands, therapy areas, and geographies.
- Develop blueprints for horizontal and vertical scaling (compute, storage, model-serving, agent orchestration).

2. Code Governance & Quality Assurance

- Act as the gatekeeper of the core codebase, reviewing backend, frontend, and ML/AI components.
- Establish and enforce coding standards (naming conventions, modularity, documentation, and security practices).
- Integrate automated code quality checks (linting, static analysis, vulnerability scanning) into CI/CD.
- Ensure proper design patterns for agent orchestration, RAG pipelines, and analytics workloads.

3. Setting Strategy: Dev, QA, and Prod

- Define and enforce environment strategies (Dev sandbox, QA integration/UAT, Production HA/Compliance).
- Implement CI/CD pipelines with approval gates, rollback strategies, and model/data version control.
- Ensure automated regression, unit, and performance testing in every release cycle.

4. Multi-Cloud Deployment Strategy

- Own the multi-cloud architecture (AWS, Azure, GCP) for flexibility, redundancy, and compliance.




- Build cloud-agnostic infrastructure-as-code (IaC) templates (Terraform, Pulumi) for repeatable deployments.
- Optimize cost, performance, and compliance trade-offs across providers.
- Ensure service portability and interoperability of AI models across clouds.

5. Compliance & Security by Design

- Enforce adherence to HIPAA, GDPR, FDA 21 CFR Part 11, GxP, and other life sciences regulations.
- Embed audit logging, explainability, and traceability into all AI/ML workflows.
- Implement RBAC, encryption (in-transit & at-rest), and secure key management.
- Build MLR compliance workflows into AI-driven content/insight pipelines.

6. Technical Team Leadership

- Provide hands-on technical direction to backend, frontend, data engineering, and DevOps/MLOps teams.
- Mentor engineers and align all technical workstreams to the central architecture blueprint.
- Conduct design reviews, sprint reviews, and retrospectives to uphold architectural integrity.

7. GenAI Technology Radar & Innovation

- Track global trends in Generative AI, multi-agent frameworks, LLM orchestration, and healthcare analytics.
- Evaluate and recommend emerging technologies (vector DBs, multimodal models, healthcare-specific LLMs).




- Champion incremental platform improvements aligned with ciATHENA’s strategic vision.

Required Qualifications :

- Minimum 8 years of experience, with 3+ years in enterprise solution architecture with more recent exposure architecting Gen AI and Agentic Ai solutions.
- Proven experience architecting and delivering large-scale platforms, preferably in SaaS or AI/ML-driven environments.
- Strong hands-on experience with Generative AI technologies (e.g., OpenAI, Hugging Face, Anthropic, LLaMA, Claude).
- Deep understanding of Agentic AI frameworks, multi-agent orchestration, vector databases, and retrieval-augmented generation (RAG).
- Proficiency in building and integrating microservices, APIs, and data pipelines in modern cloud environments (AWS, Azure, GCP).
- Familiarity with front-end and back-end technologies including React, Node.js, Python, FastAPI, etc.
- Strong grasp of AI model lifecycle, including prompt tuning, fine-tuning, caching strategies, and observability.

Preferred Qualifications :

- Exposure to Life Sciences or Healthcare domain is a plus.
- Experience with MLOps, model monitoring, or production deployment of AI models.
- Prior involvement in building or deploying chatbot frameworks, intelligent agents, or autonomous task execution platforms.
- Knowledge of responsible AI, bias detection, and compliance considerations for enterprise AI platforms.

Pay: ₹300,000.00 - ₹600,000.00 per year

Work Location: In person

📌 Solution Architect (Hyderabad)
🏢 Key2Source
📍 Hyderabad