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Solution Architect

Posted on Jan. 22, 2026

  • Ts, India
  • 0 - 0 USD (yearly)
  • Full Time

Solution Architect job opportunity

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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 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.

Job Type: Full-time

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

Work Location: In person


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