AI Engineer w/d Strong financial and banking domain experience

Hello Professionals

Position: AI Engineer w/d Strong financial and banking domain experience
Location : Salt Lake City, UT (ONSITE)

FTE

Role Overview
An AI Engineer is responsible for designing, building, deploying, and optimizing AI,
Machine Learning, and Generative AI solutions that solve real business problems.
This role bridges data, models, and applications, ensuring AI solutions are scalable,
reliable, and productionready.
AI Engineers work closely with product owners, data engineers, software engineers,
and client stakeholders to translate requirements into intelligent systems.
Key Responsibilities
AI & Generative AI Development
Design and build AI and Generative AI solutions using LLMs, NLP, and deep
learning models
Develop applications using OpenAI APIs, Azure OpenAI, HuggingFace,
LangChain, Amazon Bedrock, and similar platforms [Mphasis-Na...I Engineer |
Word]
Implement Retrieval Augmented Generation (RAG) pipelines using vector
databases such as FAISS and Pinecone
Finetune models using techniques like LoRA and QLoRA
Build AIpowered features such as:
Chatbots and virtual assistants
Text summarization and extraction
Questionanswering systems
SpeechtoText and TexttoSpeech solutions
Machine Learning & Deep Learning
Build and deploy ML models using:
Supervised and unsupervised learning
Regression and classification algorithms
Neural networks and ensemble techniques
Develop deep learning models using TensorFlow, PyTorch, CNNs, RNNs,
LSTMs, GANs, BERT and transformer architectures [Mphasis-Na...I Engineer |
Word]
Evaluate model performance using metrics such as Perplexity, BLEU, and
ROUGE
Prompt Engineering
Design and optimize prompts for:
Text summarization
Information extraction
Question & Answer systems
Apply advanced prompting techniques such as:
Fewshot prompting
ChainofThought (CoT)
Knowledgebase grounded prompts [Mphasis-Na...I Engineer | Word]
Data & Backend Integration
Work with relational and NoSQL databases:
MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, HBase
Build AI services and APIs using Pythonbased frameworks
Integrate AI models with enterprise applications and workflows
Ensure data quality, security, and compliance in AI pipelines
Production & Cloud Readiness
Deploy AI solutions on cloud platforms (Azure / AWS preferred)
Implement scalable and secure AI architectures
Monitor, optimize, and retrain models as required
Use AIassisted development tools such as Microsoft Copilot to accelerate
development responsibly [Mphasis-Na...I Engineer | Word]
Required Technical Skills
Programming & Frameworks
Strong proficiency in Python
NumPy, Pandas, Scikitlearn, TensorFlow, PyTorch, spaCy, NLTK
Experience building productiongrade AI pipelines
AI / ML / GenAI
LLMs and Generative AI
NLP techniques
RAG architectures
Embeddings (Word2Vec, GloVe, ELMo)
Vector databases

Cloud & Tools
Azure OpenAI / AWS Bedrock
Hugging Face ecosystem
Lang Chain
Model finetuning and evaluation tools

NicetoHave Skills
Experience with enterprise AI platforms
Knowledge of MLOps pipelines
Understanding of AI governance, ethics, and security
Prior experience in financial services or enterprise domains
Soft Skills & Expectations
Strong problemsolving and analytical thinking
Ability to translate business problems into AI solutions
Excellent communication with technical and nontechnical stakeholders
Fast learner with a mindset to adapt to evolving AI technologies
Typical Experience Range
3 6 years for midlevel AI Engineer
7+ years for senior / lead AI Engineer roles
(with handson AI/ML and GenAI experience)