Senior Consultant - Data Science (8-10 yrs)

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 :

i. Multi-agent AI systems

ii. Goal-driven autonomous agents

iii. Tool-calling and function-calling workflows

iv. Planning and reasoning pipelines

v. Stateful AI systems with memory management

- Design and implement :

i. RAG (Retrieval-Augmented Generation) architectures

ii. Tool-augmented AI workflows

iii. Enterprise AI copilots and assistants

iv. 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 :

i. LangGraph

ii. CrewAI

iii. AutoGen

iv. Similar orchestration frameworks

- Work with :

i. Vector databases

ii. Embeddings

iii. Semantic search systems

iv. Knowledge retrieval pipelines

- Own model lifecycle activities including :

i. Model integration

ii. Evaluation

iii. Monitoring

iv. Optimization

v. Production readiness

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

- Collaborate with :

i. Data Engineering teams

ii. MLOps teams

iii. Cloud Engineering teams

iv. 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 :

i. Agentic AI design patterns

ii. LLM best practices

iii. Prompt engineering

iv. 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 :

i. Machine Learning fundamentals

ii. Generative AI concepts

iii. Agentic AI architectures

iv. Autonomous AI systems

- Proven experience in :

i. Large Language Models (LLMs)

ii. Prompt Engineering

iii. Retrieval-Augmented Generation (RAG)

iv. AI orchestration frameworks

- Expertise in designing :

i. Multi-agent workflows

ii. Tool/function calling systems

iii. Memory and state management

iv. Planning and decision-making loops

- Hands-on experience with :

i. LangGraph

ii. CrewAI

iii. AutoGen

iv. Similar Agentic AI frameworks

- Experience with :

i. Vector Databases

ii. Embedding models

iii. Semantic Search

iv. Knowledge retrieval systems

- Strong understanding of :

i. AI deployment

ii. Monitoring and observability

iii. AI evaluation frameworks

iv. AI safety and governance

- Experience working with cloud platforms :

i. AWS

ii. Azure

iii. GCP

- Familiarity with :

i. APIs and integrations

ii. Docker

iii. CI/CD pipelines

iv. 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 :

- Bachelors or Masters degree in :

i. Computer Science

ii. Data Science

iii. Artificial Intelligence

iv. Machine Learning

v. Mathematics

vi. Statistics

vii. Related technical discipline

Preferred Certifications :

- AWS / Azure / GCP AI Certifications

- Generative AI Certifications

- ML Engineering or Data Science Certifications

- Cloud or MLOps-related certification