Job Title: Senior Consultant - Data Sciences (Agentic AI & LLM Solutions)

Location: Sadar, Uttar Pradesh

Employment Type: Full-Time

About the Role:

- We are looking for an experienced and highly skilled Senior Consultant - Data Sciences with strong expertise in Agentic AI, Large Language Models (LLMs), and advanced AI solution architecture.

- The ideal candidate will have deep hands-on experience in designing and delivering enterprise-grade AI agent systems powered by LLMs, Retrieval-Augmented Generation (RAG), and orchestration frameworks.

- This role requires a strong combination of technical expertise, consulting capability, solution architecture, and leadership skills to drive end-to-end implementation of intelligent AI systems for enterprise use cases.

Key Responsibilities:

- Lead end-to-end design, development, and deployment of Agentic AI solutions using LLMs, tools, and orchestration frameworks.

Architect and build:

- Multi-agent AI systems

- Goal-driven autonomous agents

- Tool-calling and function-calling workflows

- Planning and reasoning pipelines

- Stateful AI systems with memory management

Design and implement:

- RAG (Retrieval-Augmented Generation) architectures

- Tool-augmented AI workflows

- Enterprise AI copilots and assistants

- AI-powered automation solutions

- Develop advanced prompt engineering strategies for optimizing model performance, reasoning, and response quality.

- Integrate and manage Large Language Models (LLMs) across enterprise applications and workflows.

Build scalable AI workflows using agent frameworks such as:

- LangGraph

- CrewAI

- AutoGen

- Similar orchestration frameworks

Work with:

- Vector databases

- Embeddings

- Semantic search systems

- Knowledge retrieval pipelines

Own model lifecycle activities including:

- Model integration

- Evaluation

- Monitoring

- Optimization

- Production readiness

- Ensure AI governance, safety, observability, and responsible AI implementation practices.

Collaborate with:

- Data Engineering teams

- MLOps teams

- Cloud Engineering teams

- Product and Business stakeholders

- Present technical solutions, architecture decisions, and implementation trade-offs to client stakeholders and leadership teams.

Mentor and guide Data Scientists, AI Engineers, and junior consultants on:

- Agentic AI design patterns

- LLM best practices

- Prompt engineering

- AI architecture standards

- Contribute to reusable accelerators, frameworks, proof-of-concepts (PoCs), and innovation initiatives.

Required Skills & Technical Expertise:

- Strong hands-on experience with Python programming.

Deep understanding of:

- Machine Learning fundamentals

- Generative AI concepts

- Agentic AI architectures

- Autonomous AI systems

Proven experience in:

- Large Language Models (LLMs)

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- AI orchestration frameworks

Expertise in designing:

- Multi-agent workflows

- Tool/function calling systems

- Memory and state management

- Planning and decision-making loops

Hands-on experience with:

- LangGraph

- CrewAI

- AutoGen

- Similar Agentic AI frameworks

Experience with:

- Vector Databases

- Embedding models

- Semantic Search

- Knowledge retrieval systems

Strong understanding of:

- AI deployment

- Monitoring and observability

- AI evaluation frameworks

- AI safety and governance

Experience working with cloud platforms:

- AWS

- Azure

- GCP

Familiarity with:

- APIs and integrations

- Docker

- CI/CD pipelines

- MLOps practices

Preferred Skills:

- Experience in enterprise AI transformation initiatives.

- Exposure to scalable AI infrastructure and distributed AI systems.

- Knowledge of modern GenAI evaluation frameworks and benchmarking methodologies.

- Experience in client-facing consulting engagements.

Desired Candidate Profile:

- 8-10 years of experience in Data Science, AI/ML, or related domains.

- Strong consulting and stakeholder management skills.

- Excellent problem-solving and analytical abilities.

- Ability to lead technical workstreams independently.

- Strong verbal and written communication skills.

- Experience leading teams and mentoring technical professionals.

Education:

Bachelor's or Master's degree in:

- Computer Science

- Data Science

- Artificial Intelligence

- Machine Learning

- Mathematics

- Statistics

- Related technical discipline

Preferred Certifications

- AWS / Azure / GCP AI Certifications

- Generative AI Certifications

- ML Engineering or Data Science Certifications

- Cloud or MLOps-related certification