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Tricta Technologies (P) Ltd

4th Floor Module No-7(a), Gayatri Roof Top, Technopark Campus, Trivandrum – 695581 , 695581

AI / Solutions Architect

Closing Date:30,Sept 2026
Job Published: 07,Sept 2026
Contact Email: hr@tricta.com

Brief Description

About the Role

Tricta is looking for an experienced AI / Solutions Architect to design and lead the technical strategy for AI-driven solutions across our product and client engagements. You will bridge business requirements with scalable, production-ready AI architectures — working closely with engineering, data science, product, and client stakeholders to translate complex problems into robust technical solutions.

Key Responsibilities

  • Design end-to-end AI/ML solution architectures, including data pipelines, model training/serving infrastructure, and integration with existing systems.
  • Evaluate and select appropriate AI/ML frameworks, cloud services (AWS/Azure/GCP), and LLM/generative AI platforms based on business needs.
  • Lead technical discovery sessions with clients or internal stakeholders to define requirements and translate them into scalable architectures.
  • Architect and oversee implementation of RAG pipelines, agentic workflows, fine-tuning, and MLOps practices.
  • Ensure solutions meet standards for scalability, security, cost-efficiency, and maintainability.
  • Collaborate with data engineers and ML engineers to define data architecture and model deployment strategies.
  • Create technical documentation, architecture diagrams, and solution blueprints.
  • Provide technical leadership and mentorship to engineering teams throughout the solution lifecycle.
  • Stay current with emerging AI technologies (LLMs, vector databases, agent frameworks, etc.) and evaluate their fit for business use cases.
  • Support pre-sales/solutioning efforts by contributing to proposals, POCs, and technical presentations (if client-facing).

Preferred Skills

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in software/solutions architecture, with 2+ years focused on AI/ML solutions.
  • Strong understanding of machine learning concepts, deep learning, and modern generative AI/LLM architectures.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
  • Experience designing scalable, distributed systems and APIs.
  • Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.).
  • Experience with vector databases, RAG architectures, and prompt engineering.
  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.