DE&A - AIML - Data Science - Artificial Intelligence of Things (AIOT)
Actively Reviewing the ApplicationsZensar Technologies
India, Telangana
Full-Time
On-site
Posted 12 hours ago
•
Apply by June 12, 2026
Job Description
Job Description
As the Gen AI Lead, you will spearhead our organization’s Generative AI strategy, moving beyond simple API integrations to build sophisticated, production-grade AI systems. You will lead a cross-functional team of engineers and data scientists to architect Agentic AI frameworks, optimize RAG (Retrieval-Augmented Generation) pipelines, and ensure our AI solutions are ethical, scalable, and secure.
Responsibilities
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.
As the Gen AI Lead, you will spearhead our organization’s Generative AI strategy, moving beyond simple API integrations to build sophisticated, production-grade AI systems. You will lead a cross-functional team of engineers and data scientists to architect Agentic AI frameworks, optimize RAG (Retrieval-Augmented Generation) pipelines, and ensure our AI solutions are ethical, scalable, and secure.
Responsibilities
- Architecture & Design: Lead the design of multi-agent systems using frameworks like LangChain, AutoGen, or Semantic Kernel.
- Model Engineering: Oversee the fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) using techniques like LoRA/QLoRA for domain-specific accuracy.
- LLMOps & Scalability: Establish robust deployment pipelines (CI/CD for AI), ensuring model monitoring, versioning, and cost-efficient scaling in the cloud (AWS/Azure/GCP).
- Governance & Ethics: Implement "Responsible AI" guardrails to mitigate hallucinations, bias, and data leakage, ensuring compliance with emerging AI regulations.
- Cross-Functional Leadership: Act as the primary technical SME for executive stakeholders, translating "AI hype" into measurable ROI and business outcomes.
- Core AI: Deep expertise in Transformer architectures, Diffusion models, and Vector Databases (e.g., Pinecone, Chroma, Milvus).
- Programming: Mastery of Python and frameworks like PyTorch or TensorFlow.
- Agentic Frameworks: Hands-on experience building autonomous agents and complex multi-step workflows.
- Data & RAG: Expert-level knowledge of chunking strategies, embedding models, and hybrid search techniques.
- Cloud & Infrastructure: Proficiency with Kubernetes, Docker, and AI-specific cloud services (e.g., Azure AI Foundry, AWS Bedrock, Google Vertex AI).
- Experience: 8+ years in AI/ML, with at least 2 years specifically focused on Generative AI initiatives.
- Leadership: Proven track record of managing high-performing technical teams and delivering complex software products at scale.
- Communication: Ability to explain "black box" AI concepts to non-technical partners with clarity and authority.
- Contributions to open-source GenAI projects or published research in the field.
- Experience with Multi-modal AI (Text + Image/Video/Audio).
- Certifications such as AWS Certified Machine Learning – Specialty or Microsoft Azure AI Engineer Associate.
- Architecture & Design: Lead the design of multi-agent systems using frameworks like LangChain, AutoGen, or Semantic Kernel.
- Model Engineering: Oversee the fine-tuning of Large Language Models (LLMs) and Small Language Models (SLMs) using techniques like LoRA/QLoRA for domain-specific accuracy.
- LLMOps & Scalability: Establish robust deployment pipelines (CI/CD for AI), ensuring model monitoring, versioning, and cost-efficient scaling in the cloud (AWS/Azure/GCP).
- Governance & Ethics: Implement "Responsible AI" guardrails to mitigate hallucinations, bias, and data leakage, ensuring compliance with emerging AI regulations.
- Cross-Functional Leadership: Act as the primary technical SME for executive stakeholders, translating "AI hype" into measurable ROI and business outcomes.
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.
Required Skills
Communication
Machine Learning
Engineering
Leadership
Compliance
Monitoring
Python
AWS/Azure/GCP
AWS
Research
Microsoft Azure
Docker
Kubernetes
TensorFlow
PyTorch
Azure
LangChain
CI/CD
Cloud services
RAG
Governance
Cross-functional leadership
Semantic Kernel
Vector
Generative
Business Outcomes
BedRock
Semantic
Guardrails
Pinecone
Large Language Models
Chroma
Kernel
Regulations
Futures
Embedding
Fine-tuning
Model monitoring
LLMOps
Transformer
Vertex
Chunking
Retrieval-Augmented Generation
Multi-Agent Systems
GenAI
Retrieval
LLMs
AWS Bedrock
Audio
Generative AI
Black box
Autonomous agents
AI/ML
Agentic AI
LoRA
Milvus
Augmented Generation
Retrieval-augmented
Vector Databases
Vertex AI
AutoGen
Azure AI Foundry
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