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Trupti Solutions - Solution Architect - Generative AI
Trupti Solutions - Solution Architect - Generative AITrupti Solutions • Pune
Trupti Solutions - Solution Architect - Generative AI

Trupti Solutions - Solution Architect - Generative AI

Trupti Solutions • Pune
17 days ago
Job description

Job Summary :

We are seeking a highly experienced AI Solutions Architect with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI (GenAI).

This role involves leading the design, development and deployment of scalable AI / ML solutions and tools with a strong focus on innovative architectures.

The ideal candidate will collaborate across teams to deliver high-performance AI systems aligned with business objectives and future scalability.

Primary Work Location : Pune.

Work Type : Hybrid.

Job Type : Full-Time.

In this Role, Your Responsibilities Will Be :

  • Design and implement full-stack scalable AI / ML systems integrating frontend (React / Angular), backend (Python / Node.js), RESTful APIs, RAG and agentic frameworks (LangChain, AutoGen).
  • Architect distributed, microservice-based AI pipelines using event-driven architectures and containerized deployments on Azure and AWS (secondary).
  • Advanced ML / DL models including GPT, BERT, CNNs, RNNs, GANs for NLP, computer vision, and multimodal applications.
  • Engineer prompt-based systems using retrieval-augmented generation (RAG), few-shot learning, and prompt tuning to optimize LLM performance.
  • Lead data preprocessing workflows with Spark, Pandas, and MLFlow, including feature engineering and data augmentation.
  • Model observability frameworks for drift detection, performance monitoring, and lifecycle management using tools like Prometheus and Grafana.
  • Apply model optimization techniques such as quantization, pruning for real-time, low-latency inference.
  • Enforce AI / ML system security by integrating data protection protocols, implementing role-based access control (RBAC), encryption standards (TLS, AES), and ensuring compliance with regulatory frameworks such as GDPR, HIPAA, and ISO / IEC 27001 through automated policy enforcement and audit logging.
  • Ensure AI security, governance through bias mitigation, explainability and secure deployment aligned with compliance standards.
  • Conduct technical feasibility assessments, PoCs, and infrastructure cost estimation with risk analysis.
  • Lead AI architecture with cross-functional collaboration, Agile execution, and continuous innovation while maintaining technical excellence and comprehensive documentation.
  • Exceptional ability to articulate complex AI and technical concepts with clarity, enabling effective communication across technical and non-technical stakeholders.

Qualifications :

  • Bachelor's or Masters degree in Computer Science, Data Science, or related field with 10+ years in AI / ML architecture and enterprise-grade solution delivery.
  • Over 5 years of specialized experience in architecting and deploying AI / ML systems, with a demonstrated history of delivering production-grade solutions across diverse use cases.
  • Hands-on experience with agentic frameworks (LangChain, AutoGen), prompt engineering, and scalable LLM deployment.
  • Strong expertise in GenAI, Machine Learning, Data Science, transformer models (GPT, BERT), deep learning (CNNs, RNNs, GANs), and multimodal AI systems.
  • Proficient in Python and ML / DL frameworks like TensorFlow, PyTorch, Hugging Face, and MLFlow.
  • Skilled in designing distributed AI pipelines using microservices, containerization (Docker, Kubernetes) and cloud platforms (Azure, AWS-secondary).
  • Deep understanding of data engineering, CI / CD automation, model observability, and performance optimization.
  • Specialized in AI security including adversarial robustness, federated learning, encryption standards, and regulatory compliance.
  • Proven leadership in Agile environments, technical mentoring, and translating business needs into scalable AI architectures.
  • Passionate about innovation with a track record of integrating emerging AI technologies into production-ready systems.
  • Preferred Skills :

  • Proven experience in developing AI-powered solutions across industries.
  • Strong understanding of MLOps practices, CI / CD pipelines, and Azure DevOps for scalable AI deployment.
  • Solution Architect Certifications is plus advantage like AZ-305 : Azure Solutions Architect Expert, AWS Certified Solutions Architect.
  • Deep knowledge of secure and ethical AI design, including data privacy regulations and responsible AI principles.
  • Demonstrated success in leading GenAI / ML projects from concept to production with measurable impact.
  • Advanced problem-solving and analytical skills for translating complex challenges into efficient AI solutions.
  • Excellent communication and collaboration abilities to bridge technical and non-technical stakeholders.
  • (ref : hirist.tech)

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