Job Description

Lead Consultant Sr GenAI Engineer

Industry Focus: Financial Services & Capital Markets

Experience: 10+ Years Azure, 5+ Years Databricks

Overview

We are seeking a Lead Consultant and Senior GenAI Engineer to architect and deliver enterprise-grade GenAI solutions at the intersection of AI, data engineering, and cloud platforms. You will work with top-tier FSI and capital markets clients to modernize decision-making, risk management, and compliance through agentic AI, retrieval augmented generation (RAG), and secure cloud-native architectures.

This role combines hands-on technical depth, domain expertise in FSI, and the ability to lead cross-functional teams from ideation to production.

Key Responsibilities AI Architecture & GenAI Engineering:

Architect and implement GenAI solutions using OpenAI, LangChain, LangGraph, and RAG architectures

Design and orchestrate agentic pipelines with autonomous task execution, agent tuning, and feedback loops

Develop AI workflows with prompt engineering, retrieval integration, and validation checkpoints for safety and compliance

Deploy OCR/NLP models for extracting insights from earnings reports, filings, and customer communications. Data & System Architecture

Lead system architecture design across APIs, databases, and AI services

Architect AI-native data fabrics and Lakehouse solutions using Databricks, Delta Lake, and PySpark

Enable seamless integration of GenAI models with structured databases, real time data pipelines, and financial applications

Define architecture patterns that support FSI-grade data governance, lineage, and explainability MLOps & Delivery

Implement MLOps pipelines for model lifecycle management, versioning, and CI/CD

Build compliance-ready model validation frameworks aligned with financial regulatory standards

Deploy scalable and auditable solutions using Azure Machine Learning, ADF, GitHub Actions, and Terraform Use Case Development in FSI

Deliver high-value AI solutions in risk modeling, client onboarding, AML/KYC, investment research, and regulatory reporting

Leverage GenAI and RAG to improve customer interaction, trade intelligence, and automated documentation Collaboration & Client Integration

Work closely with data scientists, risk officers, quants, and platform teams to align on business value and compliance

Present findings, architecture decisions, and POCs to technical and non-technical stakeholders

Technical Skills Required

10+ years experience on Azure with strong command of data and AI services

5+ years working with Databricks, including Delta Lake, PySpark, DLT, and SQL based modeling

Strong Python skills and familiarity with LangChain, LangGraph, OpenAI APIs, and LLM orchestration

Expertise in MLOps, including deployment pipelines, model governance, rollback mechanisms

Proven ability to integrate models with structured/transactional data systems

Experience with Airflow, Azure Data Factory, or equivalent orchestration tools

Preferred Experience

Familiarity with LLMs such as GPT, Claude, Gemini, or LLama

Use of GenAI in compliance automation, ESG analysis, or customer 360 modeling

Experience applying NLP/OCR on financial documents and market communications

Deep understanding of cloud security, FSI compliance, and data governance models Soft Skills

Strong communication and stakeholder management skills, especially with financial domain experts

Ability to bridge the gap between AI innovation and FSI regulation

Strategic mindset with hands-on leadership in fast-moving, complex environments

Note: Job Description and Background Check

Candidates may be subjected to a Background Check /Drug Test as required by the end client before the assignment starts.

Job Tags

Similar Jobs