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Zensar Technologies - Solution Architect - Artificial Intelligence / Machine Learning

Zensar Technologies - Solution Architect - Artificial Intelligence / Machine Learning

Zensar TechnologiesPune
30+ days ago
Job description

Position : Solutions Architect - AI

Experience : 14-20 Years

Role Overview

We are seeking a highly experienced AI Solutions Architect with a strong background in software development and a proven track record of leading AI / ML initiatives at scale. The ideal candidate will combine hands-on technical expertise with strategic leadership to architect innovative AI-driven solutions that align with organizational objectives.

This role demands deep knowledge in Generative AI, large-scale AI deployments, vector databases, prompt engineering, and cloud AI / ML ecosystems, along with the ability to translate complex business problems into scalable technical architectures.

Key Responsibilities :

AI / ML Solution Architecture :

  • Lead the design and implementation of AI / ML solutions across multiple business units, ensuring alignment with strategic objectives.
  • Architect scalable, secure, and high-performance AI platforms, integrating Generative AI, LLMs, and advanced AI paradigms (RAG, Agentic AI, base model fine-tuning).
  • Define solution architecture for prompt engineering, embedding pipelines, and vector database integration.
  • Establish best practices for AI model deployment, lifecycle management, and monitoring at scale.

Cloud & Infrastructure :

  • Leverage cloud-native AI / ML services on AWS, Azure, or GCP to implement robust AI solutions.
  • Design cloud architectures for large-scale data processing, AI inference pipelines, and real-time arbitration use cases.
  • Ensure integration with existing enterprise systems, databases (SQL / NoSQL), and vector storage systems.
  • Technical Leadership & Governance :

  • Serve as the technical lead for AI / ML projects, mentoring teams of data scientists, ML engineers, and software developers.
  • Define data compliance, security protocols, and AI governance frameworks, ensuring ethical and fair AI implementations.
  • Collaborate with legal, business, and risk management teams to ensure AI deployments meet regulatory and ethical standards.
  • Business & Stakeholder Engagement :

  • Act as the bridge between technical teams and business stakeholders, translating technical capabilities into actionable business solutions.
  • Analyze complex business requirements and architect AI-driven digital transformation initiatives to optimize workflows and decision-making.
  • Oversee the delivery of AI-enabled platforms, ensuring on-time execution, adherence to quality standards, and measurable business impact.
  • Innovation & Continuous Improvement :

  • Research, evaluate, and implement emerging AI frameworks, generative models, and vector database technologies.
  • Drive adoption of advanced prompt design patterns, embedding techniques, and model fine-tuning strategies.
  • Foster a culture of innovation and AI-driven experimentation across the organization.
  • Required Skills & Expertise :

    Technical Skills :

  • 14-20 years of software development experience with at least 5+ years in AI / ML and 3+ years in an architectural / leadership role.
  • Hands-on experience with Generative AI frameworks, LLMs, RAG, Agentic AI, and base model fine-tuning.
  • Strong prompt engineering and design patterns expertise.
  • Deep knowledge of vector databases, embeddings, semantic search, and AI-driven retrieval systems.
  • Proficiency in cloud AI / ML services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.) and deployment pipelines.
  • Strong understanding of databases (SQL, NoSQL), distributed data systems, and ETL / data pipelines.
  • Expertise in security, data compliance, and AI governance frameworks.
  • Knowledge of AI ethics, fairness, explainability, and responsible AI practices.
  • Leadership & Business Skills :

  • Excellent communication, stakeholder management, and change management skills.
  • Experience in large-scale digital platform design with AI integration.
  • Ability to translate complex AI / ML technical concepts into business value propositions.
  • Proven track record of mentoring technical teams and driving AI strategy across an organization.
  • Preferred Qualifications :

  • Advanced degree in Computer Science, AI / ML, Data Science, or related fields.
  • Previous experience delivering real-time AI platforms for high-stakes applications (finance, arbitration, healthcare, or enterprise SaaS).
  • Hands-on familiarity with MLOps frameworks, CI / CD pipelines for AI / ML, model versioning, and monitoring.
  • (ref : hirist.tech)

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