Solution Architect

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Location: Gurgaon or Hyderabad

Role: Solution Architect GenAI & Agentic AI Platform

About the Role:

We are looking for a highly skilled and visionary Solution Architect to lead the technical design and architectural direction of AI-powered enterprise platforms with a specific focus on Generative AI technologies and Agentic AI frameworks. This role is central to translating complex business needs into scalable secure and high-performance AI solutions that can power next-generation applications across commercial and operational domains.

The ideal candidate should have a strong background in enterprise-grade solution architecture experience with full-stack systems and hands-on familiarity with GenAI tools orchestration platforms and multi-agent systems. The role will closely collaborate with engineering product and data science teams to drive innovation and ensure successful platform delivery.

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. Environment 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 ciATHENAs 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 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.

Location: Gurgaon or Hyderabad Role: Solution Architect GenAI & Agentic AI Platform About the Role: We are looking for a highly skilled and visionary Solution Architect to lead the technical design and architectural direction of AI-powered enterprise platforms with a specific focus on Generativ...