Job Title: GenAI / Agentic AI Architect

Experience: 12+ years

Location: Bangalore, Pune, Hyderabad

Domain: Banking

Notice Period: Immediate to 45 days

Job Description:

A seasoned AI Architect who combines deep expertise in Generative AI, Agentic AI, LLMs, SLMs, RAG, Multi-Agent Systems, Enterprise Architecture, and Cloud Platforms with strong solution architecture, development and consulting skills to drive innovation and enterprise adoption of complex Agentic AI solutions development.

This is a high-impact solution lead role requiring robust technical depth, strategic thinking, hands-on architecture capabilities, and the ability to build complex enterprise AI solutions

Skills & Experience

Agentic AI & Generative AI Skills

- 12+ years of experience in Software Engineering, AI/ML, Enterprise Architecture, and preferably Intelligent Automation as well.
- Strong depth and hands-on knowledge of Generative AI, Agentic AI, Machine Learning, Deep Learning, and modern AI architectures.
- Expertise in designing and implementing enterprise-grade Agentic AI solutions.
- Strong knowledge of AI reasoning, planning, memory, orchestration, and autonomous agent workflows.
- Experience working with:
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Multimodal AI Models
- Foundation Models
- Retrieval-Augmented Generation (RAG)
- Agentic Systems
- Multi-Agent Architectures
- Strong understanding of model fine-tuning techniques including:
- Supervised Fine-Tuning (SFT)
- Parameter Efficient Fine-Tuning (PEFT)
- LoRA / QLoRA
- Domain Adaptation
- Model Distillation
- Experience designing AI systems incorporating guardrails, responsible AI controls, observability,



and governance frameworks.

AI/ML Technical Skills

- Strong understanding of AI/ML algorithms and techniques including:
- Decision Trees
- Random Forest
- Deep Learning
- Neural Networks
- Ensemble Techniques
- Reinforcement Learning
- NLP Models
- Hands-on experience with AI/ML frameworks including:
- TensorFlow
- PyTorch
- Scikit-Learn
- Hugging Face
- NVIDIA NeMo
- Strong knowledge of vector databases, embeddings, semantic search, RAG pipelines, and knowledge retrieval architectures.
- Experience working with structured and unstructured enterprise data sources.

Agentic AI Framework Skills

- Proficiency in Agentic AI frameworks including:
- CrewAI
- LangGraph
- AutoGen
- Semantic Kernel
- Microsoft Agent Frameworks
- Expertise in designing:
- Single-Agent Systems
- Multi-Agent Systems
- Human-in-the-Loop Architectures
- Autonomous Workflow Orchestration
- Experience integrating enterprise systems through tools, APIs, plugins, and action frameworks.

GenAI Platform Skills

- Strong knowledge of Generative AI ecosystems and orchestration frameworks such as:
- LangChain
- LlamaIndex
- Semantic Kernel
- Haystack
- Experience developing enterprise-grade:
- RAG Solutions
- AI Assistants
- Knowledge Copilots
- Autonomous AI Agents




- Domain-Specific AI Solutions
- Expertise in Prompt Engineering techniques and model optimization.
- Strong understanding of:
- Prompt Templates
- Prompt Chaining
- Agent Instructions
- Context Management
- Model Evaluation
- AI Guardrails

Cloud & Infrastructure Skills

- Familiarity with at least one major cloud platform:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- NVIDIA AI Ecosystem
- Experience working with:
- Cloud-native AI architectures
- Containers and Kubernetes
- API-led integrations
- Model deployment pipelines
- GPU-enabled environments
- Understanding of scalability, performance optimization, and production AI operations.

Software Engineering Skills

- Strong proficiency in one or more programming languages:
- Python
- Java
- C#
- Go
- Strong understanding of:
- Software Development Lifecycle (SDLC)
- Object-Oriented Design
- Microservices
- API Development
- Enterprise Integration Patterns
- Experience using:
- Git
- Azure DevOps
- GitHub
- CI/CD Pipelines
- Familiarity with Agile, Scrum, and DevSecOps methodologies.

Leadership & Consulting Skills

- Excellent analytical and problem-solving abilities with the capability to solve complex business and technical challenges.
- Experience leading AI architecture discussions with business stakeholders and executive leadership.
- Strong presentation, consulting, and stakeholder management skills.
- Ability to mentor and lead teams of Data Scientists, AI Engineers, and Software Developers.
- Strong organizational skills with the ability to manage multiple priorities and deliverables.

📌 Gen AI / Agentic AI Architect (Maharashtra)
🏢 Tech Mahindra
📍 Maharashtra