GenAI Solution Architect / Principal Architect

Experience: 15+ Years

Location: Trivandrum

Employment Type: Full-Time

Job Summary We are seeking a highly experienced GenAI Solution Architect to lead the design, development, and deployment of enterprise-scale AI Agent ecosystems. The ideal candidate will have deep expertise in multi-agent architectures, Generative AI frameworks, cloud-native solutions, and enterprise integrations. This role will be responsible for architecting intelligent agent-based solutions that enhance software engineering, testing, automation, and operational processes while ensuring security, governance, scalability, and cost optimization.

Multi-Agent Architecture & GenAI Solutions

Design and implement scalable multi-agent systems using frameworks such as LangChain, CrewAI, AutoGen, or similar agentic AI platforms.

Agent orchestration

Memory management

Tool integration

Agent collaboration and delegation

Human-in-the-loop workflows

Requirement validation and automated correction

Test strategy and test scenario generation

Automation script generation and self-healing frameworks

Synthetic data generation

Performance planning and optimization

Enterprise Integration

Integrate AI agents with enterprise applications, workflow tools, and development ecosystems.

CI/CD pipelines

DevOps platforms

ITSM tools

Observability and monitoring dashboards

Enterprise APIs and microservices

Security, Governance & Compliance

Implement robust AI governance frameworks and responsible AI practices.

Design and enforce:

• Role-Based Access Control (RBAC)
• Audit logging and traceability
• Data privacy and security controls
• AI guardrails and compliance mechanisms

Ensure alignment with enterprise security and regulatory requirements.

Performance & Cost Optimization

• Optimize GenAI workloads for:
  • Token consumption reduction
  • Latency improvement
  • Cost efficiency
  • Scalability and performance
• Implement advanced techniques such as:
  • Prompt engineering
  • Response caching
  • Context optimization
  • Model selection and routing strategies

Technical Leadership

• Define GenAI architecture standards, best practices, and reusable frameworks.
• Mentor architects, engineers, and pr
• Agentic AI design patterns
• Prompt engineering
• GenAI solution development
• AI governance best practices
• Drive innovation and evaluate emerging AI technologies and frameworks.

  Required Skills &

  Experience

  15+ years of overall IT experience with strong expertise in solution architecture and enterprise application development.

  Proven experience designing and deploying enterprise-grade GenAI and AI Agent solutions.

  Technical Skills

  LangChain

  CrewAI

  Agentic AI frameworks

  LLM integration and orchestration

  Python

  TypeScript/JavaScript

  Experience with REST APIs, SDKs, and third-party integrations.

  Cloud & Platform Expertise

  Strong understanding of cloud-native architectures.

  AWS, Azure, or GCP

  Docker

  Kubernetes

  Microservices architecture

  Serverless technologies

  Data & AI Technologies

  Vector databases such as Pinecone, PGVector, Weaviate, or ChromaDB

  Retrieval-Augmented Generation (RAG)

  Hybrid RAG architectures

  Embedding models and knowledge retrieval systems

  Security & Governance

  RBAC models

  Enterprise security frameworks

  Authentication and authorization mechanisms

  Compliance and governance standards

  Experience in AI-driven Software Development Lifecycle (SDLC) transformation.

  Exposure to MLOps, LLMOps, and AI observability platforms.

  Relevant cloud certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect).

  Experience implementing Responsible AI frameworks and governance models.

  Strong stakeholder management and executive communication skills.

  Strategic Thinking

  Enterprise Architecture

  AI Solution Design

  Innovation & Problem Solving

  Technical Leadership

  Stakeholder Management

  Mentoring & Coaching

  Cost and Performance Optimization

  Experience Required: 15+ Years

  Role Level: Principal Architect / Senior Solution Architect

  Domain: Generative AI, Agentic AI, Enterprise Architecture, Cloud-Native Platforms, Intelligent Automation.