Demo

Senior GenAI / AI-ML Engineer

Sonitalent LLC
Reston, VA Contractor
POSTED ON 5/29/2026 CLOSED ON 6/2/2026

What are the responsibilities and job description for the Senior GenAI / AI-ML Engineer position at Sonitalent LLC?

Job Title: Senior GenAI / AI-ML Engineer

Location: Reston, VA – No relocation-onsite

Rate: w2

Duration: 6 months

Interview: Phone/ Skype-2Rounds

 

LinkedIn must have

Job Description:

Need strong skills in all areas

 

Top 7 Technical Skills:- Must have strong skills in AWS, GenAI, Python and Sagemaker 

Python

Gen AI

SQL

AWS Data Services

LLM

ML

Sagemaker

*** Note.. some places within this client are also using Bedrock

 

Top 3 Soft Skills:

Confidence in Communication skills for Teamwork and sharing

Stand-alone to get work done, Independent

 

10 years min experience preferred

 

Job Description:
Experience:
 8 years overall in Software Engineering disciplines, preferably in the financial services industry
• 2-3 years of experience in AI/ML engineering roles
• Strong programming skills in Python, SQL and experience with AWS.

Key Responsibilities:
 Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
• Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
• Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
• Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
• Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
• Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
• Document workflows, models, and prompt strategies for internal knowledge sharing and compliance


 

Required Qualifications:
 2–3 years of experience in data analysis or machine learning roles.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
• Strong understanding of financial data, KPIs, and reporting standards.
• Excellent communication and collaboration skills.

Preferred Qualifications:
 Experience in the finance or fintech industry.
• Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
• Exposure to data visualization tools (e.g., Power BI, Tableau).
• Understanding of MLOps practices and model lifecycle management.
Education
• B Bachelor’s degree in Computer Science, Data Science, Finance, or a related field.

 
 
 
 

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