Artificial Intelligence Engineer

Qorali; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Unlimited vacation

11 federal holidays

Remote working

Mentoring/coaching

Job summary

Qorali invites applications for a Senior Agentic AI Engineer to support a federal program focused on next-generation AI for financial intelligence and fraud detection. The role aligns with a remote US-based team and requires a current US Secret clearance.

You will design and deploy autonomous multi-agent AI systems, integrate with AWS GovCloud, and drive secure, scalable analytics workflows across large datasets while maintaining strict governance.

Qualifications

• 5+ years of software engineering experience with Python.
• 2+ years developing Generative AI and LLM-based apps.
• Experience building agentic AI solutions with multi-agent orchestration.
• Strong AWS experience with Bedrock, SageMaker, OpenSearch, Lambda, Step Functions, S3 and IAM.
• Experience with vector databases, embeddings, and semantic search.
• Understanding of cloud security, IaC and secure deployment.
• Excellent analytical, troubleshooting and communication skills.
• Ability to work East Coast US hours and hold US citizenship with active Secret clearance.

Responsibilities

• Design, develop and deploy autonomous and multi-agent AI solutions.
• Build intelligent workflows to process, interpret and classify data.
• Develop AI-powered solutions for entity mapping and risk assessment.
• Integrate LLM apps with AWS cloud services and Databricks.
• Implement agent orchestration, function calling and human-in-the-loop controls.
• Develop secure, scalable AI infrastructure using AWS GovCloud and IaC tools.
• Establish testing, evaluation and monitoring of model performance and security.
• Maintain governance and safeguards in federal environments.

Skills

Python

Generative AI

LLM

Multi-agent AI

AWS

Bedrock

SageMaker

OpenSearch

IAM

Infrastructure as Code

Tools

LangGraph

AutoGen

CrewAI

Amazon Bedrock

Terraform

CloudFormation

Databricks

Neo4j

Senzing

Job description

Senior Agentic AI Engineer | Remote | US

** Active US Government Secret security clearance required **

A growing technology organisation is seeking an experienced Senior Agentic AI Engineer to support a federal government programme focused on developing next-generation AI capabilities for financial intelligence and fraud detection.

This role will involve designing and implementing advanced AI-driven systems that automate complex analytical processes, improve investigative efficiency and support the identification of financial crime patterns across large-scale datasets.

Key responsibilities:

• Design, develop and deploy autonomous and multi-agent AI solutions using frameworks such as LangGraph, AutoGen, CrewAI and Amazon Bedrock Agents.
• Build intelligent workflows to process, interpret and classify complex financial documents and unstructured data.
• Develop AI-powered solutions for entity identification, relationship mapping, risk assessment and automated data analysis.
• Integrate LLM applications with AWS cloud services and enterprise data platforms, including Databricks.
• Implement agent orchestration, function calling, workflow automation and human-in-the-loop controls.
• Develop secure, scalable AI infrastructure using AWS GovCloud and Infrastructure as Code tools such as Terraform or CloudFormation.
• Establish testing, evaluation and monitoring processes to assess model performance, accuracy, reliability and security.
• Maintain AI governance controls, operational documentation and safeguards within regulated federal environments.

Key requirements:

• 5+ years of software engineering experience, with strong proficiency in Python.
• 2+ years of practical experience developing and deploying Generative AI and LLM-based applications.
• Demonstrable experience building agentic AI solutions, including multi-agent orchestration, tool calling and autonomous workflows.
• Strong AWS experience, ideally including Bedrock, SageMaker, OpenSearch, Lambda, Step Functions, S3 and IAM.
• Experience with vector databases, embeddings and semantic search across large unstructured datasets.
• Understanding of cloud security, access controls, Infrastructure as Code and secure deployment practices.
• Strong analytical, troubleshooting and communication skills.
• Ability to work East Coast US hours.
• US citizenship and active Secret security clearance required.

Desirable: Experience in financial crime, fraud detection, Anti-Money Laundering (AML), Counter-Terrorist Financing (CTF), BSA or SAR analysis. Knowledge of graph databases, semantic ontologies, entity resolution, Neo4j, Amazon Neptune, Senzing, Databricks, Spark or Delta Lake would be advantageous. Familiarity with FedRAMP High, AWS GovCloud and NIST AI Risk Management Framework is also beneficial.

Benefits include: Health insurance, 401(k) match, unlimited vacation, 11 federal holidays, remote working, professional training and mentoring/coaching.