Senior Consultant – Enterprise AI (GenAI / LLM)

Role Overview

We are looking for a Senior Consultant with a strong Data Science / AI background to design and deliver end-to-end enterprise AI solutions. The ideal candidate will have hands-on experience with GenAI, LLMs, and RAG, and a proven ability to translate business problems into scalable AI-driven solutions.

This role is solution-focused, not platform-heavy — we are specifically looking for candidates who have owned AI use cases from problem definition to production delivery.

Key Responsibilities

• Design and deliver end-to-end AI solutions for enterprise use cases across HR, IT, Finance, Operations, and Customer Support.
• Build AI copilots, chatbots, and knowledge assistants using LLMs and enterprise data.
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for intelligent search and automation.
• Work with structured and unstructured data to enable decision-making and self-service capabilities.
• Apply LLMs, prompt engineering, and agentic workflows to solve business problems.
• Collaborate with business stakeholders to gather requirements and translate them into AI solutions.
• Ensure solutions meet enterprise standards for security, governance, and compliance.
• Implement best practices for LLMOps, evaluation, monitoring, and guardrails.
• Track solution performance, user adoption, and business impact.
• Support deployment, iteration, and continuous improvement of AI systems.

Required Qualifications

• 7–10 years of experience in Data Science, AI/ML, or AI Consulting roles.
• Hands-on experience building GenAI / LLM-based applications in enterprise environments.
• Proven experience designing and delivering end-to-end AI solutions (not just components).
• Strong experience with RAG pipelines, enterprise search, and knowledge retrieval systems.
• Proficiency in Python for data analysis and AI workflows.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
• Experience with vector databases/search tools (Pinecone, FAISS, Chroma, OpenSearch, Azure AI Search, etc.).
• Experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI.
• Strong understanding of LLMOps, evaluation frameworks, monitoring, and prompt/version management.
• Ability to work closely with business stakeholders and drive AI use cases end-to-end.

Preferred Qualifications

• Experience building enterprise AI copilots or internal automation tools.
• Familiarity with agentic AI, tool/function calling, MCP, or orchestration frameworks.
• Experience integrating AI solutions with enterprise platforms like ServiceNow, Workday, Microsoft 365, SharePoint, Teams, Slack, Salesforce, etc.
• Experience in consulting environments or client-facing roles.
• Exposure to workflow automation tools (Power Automate, UiPath, etc.).

Ideal Candidate Profile

• Strong Data Scientist / AI Consultant background
• Has built real GenAI solutions using enterprise data
• Comfortable with business interaction and solution ownership
• Not purely backend, platform, or infrastructure-focused

Regards,

Gaganpreet Singh

Lead - Talent Acquisition

www.dynpro.com