GenAI Solution Architect / Principal Architect

Role description

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.

Key Responsibilities

Multi-Agent Architecture & GenAI Solutions

• Design and implement scalable multi-agent systems using frameworks such as LangChain, CrewAI, AutoGen, or similar agentic AI platforms.
• Define architecture patterns for:
  • Agent orchestration
  • Memory management
  • Tool integration
  • Agent collaboration and delegation
  • Human-in-the-loop workflows
• Build and deploy GenAI-powered agents for:
  • 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.
• Enable seamless connectivity with:
  • 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 product teams on:
  • Agentic AI design patterns
  • Prompt engineering
  • GenAI solution development
  • AI governance best practices
• Drive innovation and evaluate emerging AI technologies and frameworks.

Required Skills & Qualifications

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

• Hands-on experience with:
  • LangChain
  • CrewAI
  • Agentic AI frameworks
  • LLM integration and orchestration
• Strong programming expertise in:
  • Python
  • TypeScript/JavaScript
• Experience with REST APIs, SDKs, and third-party integrations.

Cloud & Platform Expertise

• Strong understanding of cloud-native architectures.
• Hands-on experience with:
  • AWS, Azure, or GCP
  • Docker
  • Kubernetes
  • Microservices architecture
  • Serverless technologies

Data & AI Technologies

• Experience working with:
  • Vector databases such as Pinecone, PGVector, Weaviate, or ChromaDB
  • Retrieval-Augmented Generation (RAG)
  • Hybrid RAG architectures
  • Embedding models and knowledge retrieval systems

Security & Governance

• Deep understanding of:
  • RBAC models
  • Enterprise security frameworks
  • Authentication and authorization mechanisms
  • Compliance and governance standards

Preferred Qualifications

• 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.

Key Competencies

• 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.

Skills

Agentic AI, Generative AI, Cloud-Native Development, Google Cloud Platform, Kubernetes, CI/CD, Microsoft Azure, REST, AWS, Python, Redis

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.