AI/ML Engineer (Python, ML, PySpark) 1

• *Job Title:** AI/ML Engineer (Python, ML, PySpark) 1

• *Req Id:** 3804

• *Posting Start Date:** 7/17/26

HGS is a global provider of technology, AI, and business services that helps organizations transform with confidence. At HGS, we combine technology, AI, and human expertise to deliver Intelligent Experiences that drive growth and transformation. Our strong foundation in CX enables us to create impactful solutions across industries. Through our Realized AI approach, we deliver practical innovation with measurable outcomes. Part of the multi\-billion\-dollar Hinduja Group, HGS takes a “globally local” approach with 17,000\+ employees across 10 countries and 23 delivery centers.”

• *Job Description:**

JD: AIML Engineer

Position Overview

We are seeking an experienced Generative AI Engineer with strong expertise in building agentic workflows for treasury simulations, decision support, and scenario reasoning. The role requires hands\-on experience in developing intelligent agent systems, implementing state machines for complex financial workflows, and creating comprehensive AI\-driven decision support solutions.

• *Key Responsibilities:**

Agentic Workflow Development

Design and build agentic workflows for treasury simulations and financial scenario planning

Develop intelligent planning agents that can reason through complex financial decisions

Create scenario narrators that can explain and communicate financial outcomes in natural language

Implement multi\-agent systems for collaborative decision\-making processes

LLM Integration \& Prompt Engineering

Design and optimize prompts for large language models (LLMs) to achieve specific financial domain tasks

Build robust prompt templates and chains for consistent agent behavior

Implement prompt engineering best practices for accuracy, reliability, and cost optimization

Fine\-tune and evaluate LLM outputs for financial domain applications

State Machine \& Orchestration

Develop complex state machines using LangGraph for agentic workflow orchestration

Implement stateful agents that maintain context across multi\-turn interactions

Design and build reasoning agents that can break down complex problems into actionable steps

Create event\-driven architectures for responsive agent systems

RAG \& Knowledge Management

Implement Retrieval\-Augmented Generation (RAG) systems for financial knowledge bases

Design vector databases and embedding strategies for efficient information retrieval

Build context\-aware agents that leverage domain\-specific documentation and data

Optimize retrieval mechanisms for accuracy and relevance

Financial Domain Modeling

Apply financial domain expertise to treasury operations, cash flow management, and risk assessment

Model complex financial scenarios including market conditions, liquidity positions, and investment strategies

Translate business requirements into technical specifications for AI systems

Ensure compliance with financial regulations and industry best practices

Decision Support Systems

Build AI\-powered decision support tools for treasury and finance teams

Create interactive interfaces for scenario exploration and what\-if analysis

Develop explainable AI solutions that provide transparent reasoning paths

Implement monitoring and evaluation frameworks for agent performance

Qualifications and Certifications

Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Mathematics, or related field

5 to 10 years of experience in software development with minimum 3 years hands\-on experience in Generative AI and LLM applications

Strong expertise in working with large language models (GPT\-4, Claude, Llama, etc.)

Proven experience in building agentic workflows and autonomous systems

Deep knowledge of financial domain concepts, particularly treasury operations

Excellent technical documentation skills with ability to write clear specifications and architectural designs

Certifications in AI/ML or cloud platforms (AWS, Azure, GCP) preferred

Technical Expertise

Core AI/ML Skills

Large Language Models (OpenAI GPT\-4, Anthropic Claude, open\-source models)

Prompt engineering frameworks and best practices

LangChain, LangGraph, or similar orchestration frameworks

State machine design and implementation

Retrieval\-Augmented Generation (RAG) architectures

Programming \& Development

Python (primary), with strong expertise in AI/ML libraries

Vector databases (Pinecone, Weaviate, ChromaDB, FAISS)

API development (REST, FastAPI, Flask)

Git version control and CI/CD pipelines

Financial Domain Knowledge

Treasury operations and cash management

Financial modeling and scenario planning

Risk assessment and decision analysis

Financial data structures and reporting

Cloud \& Infrastructure

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

Model deployment and MLOps

Monitoring and observability tools

Additional Skills

Natural language processing (NLP)

Data structures and algorithms

Distributed systems and microservices

Test\-driven development and quality assurance

What We Offer

Competitive salary and benefits (health, dental, retirement)

AI/ML certification and training support

Remote work flexibility

Access to cutting\-edge AI technologies and tools

Client\-facing exposure to Fortune 500 financial institutions

Career growth in a leading data analytics and AI practice

Travel Requirements

Willingness to travel 25\-50% to client locations

Valid driver's license

Application Process

• *Qualified candidates should submit:**

Detailed resume highlighting Generative AI and agentic workflow project experience

Cover letter describing relevant technical achievements in AI/ML

Portfolio of completed AI projects, particularly those involving agents or financial applications (if available)

GitHub profile or code samples demonstrating AI/ML expertise

Professional references from previous AI/ML implementations

We are an equal opportunity employer committed to diversity and inclusion in the workplace.

Working at HGS

At HGS, our employees get an open and collaborative environment and gain experience working for customers in various industries while solving complex business problems. They get support to learn new technologies as well as to enhance existing skills to further their career growth.

Interested candidates please share your profile to \_\_\_\_\_\_\_\_\_\_@teamhgs.com

HGS is an equal opportunity employer committed to fostering diversity, equity, and inclusion. We do not discriminate based on race, ethnicity, religion, gender, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We believe a diverse workforce drives innovation and helps us better understand and serve our global customers and communities.

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