Technical Architect

Job Role

AIML GenAI Architect

Experience Level

Expert (10+ years)

Key Responsibilities

GenAI Agentic AI Strategy

Select and optimize opensource LLMs Llama 3 Mistral Falcon BLOOM for local deployment lead finetuning using PEFTLoRAQLoRA and full finetuning strategies

Architect LLM distillation pipelines to create smaller domainspecific models for inference efficiency

Design and govern RAG pipelines standard RAG Graph RAG Hybrid RAG for chatbots grievance redressal helpdesk automation and document summarization

Build reusable AI Agent frameworks task agents reasoning agents retrieval agents workflow managers using LangGraph and AutoGen

Architect multiagent orchestration systems with supervisorworker patterns tooluse agents and selfreflection loops

Classical ML Advanced Analytics

Design ML pipelines for calibration models ensemble models stacking blending boosting upliftcausal ML models and simulation models

Establish XAI Explainable AI frameworks using SHAP LIME Integrated Gradients define interpretability standards for regulatory compliance

LLM Evaluation Quality Frameworks

Create accuracy and evaluation frameworks for summarization ROUGE BERTScore LLMasjudge extraction classification and conversational AI

Implement hallucination detection factuality scoring and bias evaluation frameworks using LangKit GuardrailsAI and custom evaluators

Define LLM evaluation benchmarks aligned to use cases establish continuous evaluation pipelines triggered post finetuning

Govern prompt engineering standards fewshot template libraries and chainofthought reasoning frameworks

Document Intelligence Knowledge Pipelines

Build document intelligence workflows OCR Tesseract PaddleOCR parsing chunking strategies embeddings summarization extraction QA

Job Role

GenAI Project Management

Experience Level

Expert (10+ years)

Job Summary

Lead and manage end-to-end GenAI projects, overseeing technical teams, project scope, timelines, budgets, and ensuring compliance with AI governance and risk mitigation, primarily on Azure platforms.

Key Responsibilities

Lead the full lifecycle of GenAI projects from PoC to deployment on Azure. Supervise technical teams developing RAG pipelines, LLM-based assistants, and agentic workflows. Coordinate implementation and extension of Microsoft 365 Copilots and custom Copilot Studio agents. Manage GenAI-specific risks, including hallucination mitigation, data privacy, and Responsible AI guardrails. Execute large-scale migrations and implementations. Drive major IT projects, managing multiple priorities, setting timelines, holding teams accountable, and delivering projects on time and budget. Plan and manage multiple stakeholders, including clients, offshore, and cross-functional teams.