DE&A - AIML - Machine Learning - Other @ Zensar

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

AI Architect

Experience: 12–16 Years

Location: Pune / Bengaluru / Hyderabad

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.

What's this role about?

We are seeking an experienced AI Architect to lead the design and implementation of enterprise-scale AI, Generative AI, and Agentic AI solutions. The ideal candidate will be responsible for defining AI architecture strategy, designing scalable AI platforms, and driving the adoption of intelligent solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

The role requires close collaboration with business stakeholders, AI engineers, data scientists, and delivery teams to transform business challenges into practical AI solutions. The candidate should possess expertise in architecting GenAI applications, conversational AI, knowledge assistants, agent-based workflows, and AI governance frameworks while ensuring scalability, security, and responsible AI adoption.

Skills required to contribute

Required Skills

• 10+ years of overall IT experience with significant experience in AI/ML solution architecture.
• Strong expertise in designing and implementing Generative AI, Machine Learning, and Agentic AI solutions.
• Hands-on experience with Large Language Models (LLMs) such as GPT, Gemini, Claude, Llama, or similar foundation models.
• Experience architecting RAG (Retrieval-Augmented Generation) solutions using vector databases and enterprise knowledge repositories.
• Strong understanding of Agentic AI architectures, AI Assistants, AI Copilots, and multi-step orchestration workflows.
• Experience with AI application frameworks such as LangChain, LangGraph or similar Agentic AI frameworks.
• Expertise in Prompt Engineering, AI workflow design and LLM application architecture.
• Strong knowledge of AI evaluation, observability, governance, and responsible AI practices.
• Experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or Scikit-Learn.
• Experience leveraging cloud-based AI services on Azure, AWS, or Google Cloud Platform.
• Understanding of vector databases, semantic search, embeddings, and enterprise knowledge management solutions.
• Experience integrating AI solutions with enterprise applications, APIs, and business workflows.
• Strong customer engagement, solutioning, architecture review, and stakeholder management skills.
• Ability to provide technical leadership and mentor AI engineering teams.

Good to Have

• Experience with Agentic AI frameworks such as LangChain, LangGraph or similar platforms.
• Experience implementing enterprise chatbots, copilots, or AI assistants.
• Exposure to MLOps practices and AI observability tools.
• Experience working with Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
• Domain experience in Retail, Banking, Insurance, Manufacturing, or Healthcare.
• Cloud or AI-related certifications.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field.