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 Qualified 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.

📌 GenAI Solution Architect / Principal Architect (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram